¿ªÔªÕæÈË

Bachelor of Science in BioChemistry

Biochemistry, the study of the molecules of life, encompasses chemical tools to provide an understanding of biological processes at the molecular level.ÌýÌý Biochemistry now enjoys a premier spot in researches worldwide. The BS Biochemistry program is aimed at producing well-trained graduates with a sound understanding of chemical and biological concepts.Ìý The program is an excellent background for those who want to be admitted to a school of medicine, dentistry and veterinary medicine. In addition, graduates are qualified to take the Chemistry Licensure Examination conducted by the Professional Regulation Commission and become licensed chemists.

Table 1. Summary of the BS Chemistry major in Food Science curriculum

Program Outcomes

Critical and creative thinker

• demonstrate a conceptual understanding and problem-solving skills in the fields of analytical, organic, inorganic, biochemistry, and physical chemistry
• show a depth of knowledge in Food Science reflecting an appropriate level of specialization and relate concepts to those of other disciplines
• able to dissect a problem into its key features; develop problem-solving skills relating to qualitative and quantitative information
• demonstrate skills in data collection, analysis, statistical evaluation and interpretation of results
• able to plan experiments, understand their limitations and develop suitable alternative procedures and methods

Effective communicator

• able to present scientific information in a clear and concise manner and to discuss them intelligently and confidently both orally and in writing
• able to collaborate with other researchers and work in a team
• able to comprehend, explore and evaluate ideas and express them clearly, logically and coherently

Reflective lifelong learner

• acquire study and self-development skills needed for continuing professional development and life-long learning
• able to reactively and pro-actively identify and address biochemical medical issues and trends
• able to recognize dynamics between biochemistry and the medical and health sciences

Service – driven citizen

• exercise ethical principles and social responsibility in his / her professional and personal endeavors
• practice effective interpersonal skills in order to interact peacefully with others
• apply critical thinking skills to solve problems and generate designs, systems or products relating to chemistry and/or food science for the purpose of improving human life and meeting current needs of society

Table 2. Summary of Units

Lasallian Core Curriculum

General Education Courses

Chemistry Courses

Practicum + ThesisÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý

Ìý

Biochemistry Courses

Ìý

Biology Courses

Ìý

Foundation Courses

Other Science Courses

Course Descriptions

Foundation Courses

Ìý

Core Chemistry Courses

Level 1

Level 2

Level 3

Ancillary Courses

Elective Courses

Research and Professional Engagement

Biochemistry Courses

Biology Courses

Additional Courses (non-CMO/PSG)

Table 3. Comparison with other Chemistry programs

* non academic units

Bachelor of Science in Biology major in Medical Biology
Degree Codes:

Program Description

The BS Biology program provides a well-rounded education in the life sciences, with equivalent emphasis on plant, animal and microbial fields.Ìý Students are introduced to the basic subjects of Zoology and Botany in their freshman year to serve as springboard for more specialized subjects such as Genetics, Physiology and Embryology in their next two years.Ìý The program also stresses the importance of biological research and inculcates basic skills in research methods and experimental work via consecutive Bioresearch subjects.Ìý Biology major is exposed to the different aspects of Biology through lectures, laboratory works, research and field trips. The program not only gives students a firm foothold of the underlying principles of biology.Ìý It also relates learning to present-day social and environmental issues such as population control, genetics and heredity, environmental preservation, or breakthroughs in the medical frontier.

The Medical Biology track provides a strong foundation in the concepts and applications of the biological sciences, and excellent laboratory and research skills for students who are interested in pursuing a career in the medical or paramedical field. Students are exposed to the etiology, pathogenesis, diagnosis, prevention and treatment of microbial, parasitic, arthropod-related as well as non-infectious diseases. The courses also tackle the epidemiology and immune responses to these diseases.

Goals and Objectives of the BS Biology Program

The BS Biology program aims to develop and produce graduates who are well grounded on the fundamental concepts and principles in the biological sciences, continuously abreast with developments in the different fields of biological studies, intellectually capable, morally upright, and with a strong sense of ethical behavior and service to society. It aims to produce competent professionals in the academe, research and industry, who are reflective life-long learners and are equipped to pursue studies in the graduate or medical school.

Rationale for the revision of the Bachelor of Science in Biology curriculum

The enhancement of the Basic Education Curriculum led to the revision of the Bachelor of Science in Biology curriculum. The Department of Biology offers three (3) tracks, namely: (1) Medical Biology; (2) Systematics and Ecology; and (3) Molecular Biology and Biotechnology within the BS in Biology curriculum starting Academic Year 2018-2019. Each track requires a total of 25 units of specialization courses translated into 5 courses with both lecture and laboratory components in addition to the core requirements of the program and university requirements.

The specialization courses create a commitment between students and their topic of study within the biology major. These also provide structure to electives to assist students’ development in their fields of interest. Moreover, the specialized courses in each track provide expertise in a field within biology for students seeking admission to graduate school, medical school or other programs.

Bachelor of Science in Biology major in Molecular Biology and Biotechnology
Degree Codes:

Program Description

The BS Biology program provides a well-rounded education in the life sciences, with equivalent emphasis on plant, animal and microbial fields.Ìý Students are introduced to the basic subjects of Zoology and Botany in their freshman year to serve as springboard for more specialized subjects such as Genetics, Physiology and Embryology in their next two years.Ìý The program also stresses the importance of biological research and inculcates basic skills in research methods and experimental work via consecutive Bioresearch subjects.Ìý Biology major is exposed to the different aspects of Biology through lectures, laboratory works, research and field trips. The program not only gives students a firm foothold of the underlying principles of biology.Ìý It also relates learning to present-day social and environmental issues such as population control, genetics and heredity, environmental preservation, or breakthroughs in the medical frontier.

The Molecular Biology and Biotechnology track aims to broaden the options for students trained in Biology to include careers in biotechnology research, the academia, industry, and innovation start-ups.ÌýÌý ÌýThe program will be developing in students biotechnology skills in the laboratory and in accessing and analyzing big data from open access DNA, RNA and protein repositories, to enable them to actively participate as movers and leaders of the biomolecular revolution in the Philippines. The program is heavily anchored on biological theory and the developments in the local, regional and global health and wellness, agriculture and environment industries.Ìý Instruction in the five specialization courses –Ìý molecular genetics, proteomics & genomics, bioinformatics, agricultural biotechnology, and industrial biotechnology & enterprise – will focus on gene structure, function and expression, and their applications to medical and industrial microbiology, physiology, developmental biology, molecular diagnosis of diseases, screening and characterization of natural products and molecular ecology and systematics.Ìý The program is designed to foster multi-disciplinary & multi-level mentoring and the integration of instruction, research & extension activities.The Medical Biology track provides a strong foundation in the concepts and applications of the biological sciences, and excellent laboratory and research skills for students who are interested in pursuing a career in the medical or paramedical field. Students are exposed to the etiology, pathogenesis, diagnosis, prevention and treatment of microbial, parasitic, arthropod-related as well as non-infectious diseases. The courses also tackle the epidemiology and immune responses to these diseases.

Goals and Objectives of the BS Biology Program

The BS Biology program aims to develop and produce graduates who are well grounded on the fundamental concepts and principles in the biological sciences, continuously abreast with developments in the different fields of biological studies, intellectually capable, morally upright, and with a strong sense of ethical behavior and service to society. It aims to produce competent professionals in the academe, research and industry, who are reflective life-long learners and are equipped to pursue studies in the graduate or medical school.

Rationale for the revision of the Bachelor of Science in Biology curriculum

The enhancement of the Basic Education Curriculum led to the revision of the Bachelor of Science in Biology curriculum. The Department of Biology offers three (3) tracks, namely: (1) Medical Biology; (2) Systematics and Ecology; and (3) Molecular Biology and Biotechnology within the BS in Biology curriculum starting Academic Year 2018-2019. Each track requires a total of 25 units of specialization courses translated into 5 courses with both lecture and laboratory components in addition to the core requirements of the program and university requirements.

The specialization courses create a commitment between students and their topic of study within the biology major. These also provide structure to electives to assist students’ development in their fields of interest. Moreover, the specialized courses in each track provide expertise in a field within biology for students seeking admission to graduate school, medical school or other programs.

Bachelor of Science in Biology major in Systematics and Ecology
Degree Codes:

Program Description

The BS Biology program provides a well-rounded education in the life sciences, with equivalent emphasis on plant, animal and microbial fields.Ìý Students are introduced to the basic subjects of Zoology and Botany in their freshman year to serve as springboard for more specialized subjects such as Genetics, Physiology and Embryology in their next two years.Ìý The program also stresses the importance of biological research and inculcates basic skills in research methods and experimental work via consecutive Bioresearch subjects.Ìý Biology major is exposed to the different aspects of Biology through lectures, laboratory works, research and field trips. The program not only gives students a firm foothold of the underlying principles of biology.Ìý It also relates learning to present-day social and environmental issues such as population control, genetics and heredity, environmental preservation, or breakthroughs in the medical frontier.

The five specialization courses in the Systematics and Ecology track exposes students to theories and practices in the fields ofÌýtaxonomy, systematics, ecology, environmental and sustainability science.Ìý ÌýThe track provides more than adequate preparation for careers in government and industry, as well as for graduate school and academia.

Goals and Objectives of the BS Biology Program

The BS Biology program aims to develop and produce graduates who are well grounded on the fundamental concepts and principles in the biological sciences, continuously abreast with developments in the different fields of biological studies, intellectually capable, morally upright, and with a strong sense of ethical behavior and service to society. It aims to produce competent professionals in the academe, research and industry, who are reflective life-long learners and are equipped to pursue studies in the graduate or medical school.

Rationale for the revision of the Bachelor of Science in Biology curriculum

The enhancement of the Basic Education Curriculum led to the revision of the Bachelor of Science in Biology curriculum. The Department of Biology offers three (3) tracks, namely: (1) Medical Biology; (2) Systematics and Ecology; and (3) Molecular Biology and Biotechnology within the BS in Biology

curriculum starting Academic Year 2018-2019. Each track requires a total of 25 units of specialization courses translated into 5 courses with both lecture and laboratory components in addition to the core requirements of the program and university requirements.

The specialization courses create a commitment between students and their topic of study within the biology major. These also provide structure to electives to assist students’ development in their fields of interest. Moreover, the specialized courses in each track provide expertise in a field within biology for students seeking admission to graduate school, medical school or other programs.

BS in Chemistry

The Bachelor of Science in Chemistry program is designed to provide students with an excellent foundation in chemistry. It equips them with the necessary laboratory skills and scientific training needed in the competent practice of the chemistry profession. Lectures, seminars, and laboratory classes are geared toward problem evaluation and decision-making. Courses in the humanities and social sciences are integrated to provide the perspective that will direct scientific efforts toward national concerns. The new curriculum has been designed to offer stronger preparation for the professional chemist licensure examination.

Employment opportunities for chemists are available in the industry, government, and non-profit organizations. Positions range from research and development, quality control and regulations, sales, marketing and support, and manufacturing. As chemists, graduates can also create jobs through the vast market of consumer goods or touch lives as educators and researchers in academia

EMPLOYMENT OPPORTUNITIES

A graduate of the programme is qualified to be a Professional Chemist upon passing the Licensure Exam for Chemists given by the Professional Regulation Commission of the Philippines.

INDUSTRY

Employment opportunities are available as a laboratory chemist in industries that deal with chemicals, food and beverage, cosmetics, pharmaceuticals, oil and petroleum, mineral and metals, textile, agricultural products, pulp and paper, analytical chemistry services, quality control, and research and development.

GOVERNMENT

Government agencies which have departments that necessitate the services of a chemist such as in crime laboratories for forensic analysis in the National Bureau of Investigation (NBI), the Philippine National Police (PNP), and the Philippine Drug Enforcement Agency (PDEA). They can also serve as laboratory assessors of the Department of Environment and Natural Resources (DENR) and at the Department of Trade and Industry (DTI). They may also work as a research scientist or chemical analyst in the Department of Science and Technology (DOST), the Department of Health (DOH), and the Department of Agriculture (DA)

ÌýACADEME

The graduates of the programme can also pursue graduate studies (Masters or Doctoral degrees) and be employed in academic institutions.

ÌýALLIED FIELDS

Employability and career opportunities are also available in the following allied fields:

Marine Science, Geological Sciences, Physics, Molecular Biology and Biotechnology, Materials Science, Pharmaceutical Science, Food Science, Agricultural Science, Chemical Engineering, Forensic Science, and Environmental Science.

ADMISSION CRITERIA AND REQUIREMENTS

Admission policies for the BS Chemistry program follow that of the admission for the University as seen on the website: /admissions/undergraduate/freshmen-procedures/

An applicant must be any of the following:

• Grade 12 students who are expected to graduate at the end of the Academic Year 2022-2023;
• Students who graduated from Grade 12 (local or abroad) in AY 2021-2022 or earlier and have not taken any college course from any university;
• Passer of the Philippine Educational Placement Test (PEPT), Alternative Learning System (ALS), or Non-Formal Education Accreditation and Equivalency (NFEA&E) Program following DepEd regulations and therefore certified eligible for admission to college/tertiary level;
• Scholastic Aptitude Test (SAT) result holder, AP result holder, IB Diploma/IB Certificate holder, or A Level certificate holder who has met theÌý¿ªÔªÕæÈË criteria.ÌýAll results and certificates will be subject to evaluation.

PROGRAMME GOALS

ÌýThe BS Chemistry program is committed to producing highly knowledgeable, skilled, and competent chemists. Guided by ¿ªÔªÕæÈË’s Vision-Mission and core values, its goals are to produce graduates who are

1. Compliant with the current requirements for professional chemists for local and overseas employment
2. Competent to conduct scientific research, pursue higher studies in chemistry and related fields or apply chemistry to entrepreneurial activities.
3. Committed individuals in the responsible practice of the Chemistry Profession who use their training to direct scientific efforts toward addressing national concerns

PROGRAMME LEARNING OUTCOMES

A graduate of the program is expected to possess:

1. Chemistry Knowledge. Demonstrate a broad and coherent knowledge and understanding in the core areas of chemistry: inorganic, organic, physical, biological, analytical chemistry and its foundational sciences.
2. Laboratory Skills. Apply appropriate chemistry laboratory methods and equipment in performing chemical analysis
3. Technology and Digital Skills. Make use of appropriate information technology for chemistry learning and research.Ìý
4. Collaboration. Demonstrate leadership and capacity to work within multi-disciplinary and cross-cultural teams.
5. Socio-Ethical Professionalism. Act with social, legal and ethical responsibility in the practice of the profession.
6. Communication Skills. Communicate orally and in writing using both English and Filipino.
7. Critical Application of Chemistry. Conduct research applications of chemistry principles to generate relevant scientific data (PQF level 6 descriptor).Ìý
8. Lasallian Philosophy. Practice the Lasallian core values of faith, service and communion in everyday life.

INTERNAL/EXTERNAL BENCHMARKS/REFERENCES

The ¿ªÔªÕæÈË BS Chemistry Programme is compliant to the Commission on Higher Education Memorandum Order (CMO) No. 47 series 2017. This sets the Policies, Standards and Guidelines (PSG) for the Bachelor of Science in Chemistry Program.

Employability of the graduates of the programme is ensured by the PSG as it is harmonized with the Philippine Qualification Framework (PQF) and the ASEAN Qualifications Reference Framework as well as other International Qualifications Framework.

The PSG is also benchmarked with the American Chemical Society (ACS) – approved programmes and the Chemistry Eurobachelor programme.

OUTLINE OF PROGRAMME STRUCTURE AND CONTENT

Note:Ìý Units in parentheses refer to non-academic units.

Chemistry and Elective Courses

Practicum + Thesis

Ìý

Foundation Courses

Ìý

Other Science Courses

General Education Courses

Ìý

Lasallian Core Curriculum

Table 1. Matrix Showing Contribution of Each Course to Program Learning Outcomes

INTERNSHIPS, STUDENT EXCHANGES, STUDY ABROAD OPPORTUNITIES

ÌýStudents of the BS Chemistry Programme have the opportunity to conduct internships with local and foreign companies and explore short-term study-abroad opportunities.

LOCAL/INTERNATIONAL COMPANIES/INSTITUTIONS

Ìý

FOREIGN INSTITUTIONS WITH ACTIVE LINKAGES

The home college of the Department of Chemistry, the College of Science maintains active linkages with institutions in the country and abroad in the areas of joint research activities, publications, student exchange, academic staff exchange, seminars and conferences, resource sharing, double degree programs, PhD sandwich programs.

These institutions include:

Seoul National University, Korea

University of Chemistry and Technology, Prague

National Taiwan University

Czech University of Life Sciences, Prague

Chinese Academy of Sciences

Fukui University, Japan

Osaka University, Japan

Liverpool Hope University, United Kingdom

Michigan State University, United States of America

Universiti Teknologi Malaysia

PROGRESSION REQUIREMENTS

LEGEND: Green – Chemistry Core Courses, Light Green – LaSallian Core Curriculum, Gray, General Education Courses, Pink – Foundation Courses

SPECIFICATIONS OF ALL COURSES IN THE PROGRAMÌý

Course Descriptions
Core Chemistry Courses

Level 1

Level 2

Level 3

Research and Professional Engagement

Elective Courses

Additional Courses (non-CMO/PSG)

Foundation Courses

Ancillary Courses

BS in Chemistry major in Food Science

The Bachelor of Science in Chemistry Major in Food Science program is designed to provide a student in chemistry with the opportunity to develop a specialization in the broad discipline of Food Science. The curriculum includes the core courses of the BS Chemistry program as well as the food science subjects needed to equip students with a scientific understanding of food systems and processes.

Although approved in 2014, the program was caught in the K12 transition before it can be opened to students. Now aimed to be offered in academic year 2019-2020, the Food Science program was revised according to the 2017 BS Chemistry policies, standards and guidelines from CHED (CMO 47s2017). Credit units from the old bachelor’s curriculum were replaced with courses that allow for a deeper, broader treatment of the core courses in chemistry and biochemistry and a stronger preparation for the professional chemist licensure examination.

In addition, the recent Republic Act 11052 (The Food Technology Act) creating the Professional Regulatory Board of Food Technology and professionalizing food technologists via licensure exams, provide additional career opportunities for graduates of the program.

The combination of the science areas enhances research and employment opportunities for graduates in various components of the food industry: food analysis, quality assurance, research and development, food safety, management, legislation etc. Those who wish to seek employment as food analysts or food research chemists or biochemists should have a competitive edge. As chemists, graduates may choose to find employment in other industries, create jobs through the vast market of consumer goods or touch lives as educators and researchers in academia.

Table 1. Summary of the BS Chemistry major in Food Science curriculum

Ìý

Program Outcomes

Critical and creative thinker

• demonstrate a conceptual understanding and problem-solving skills in the fields of analytical, organic, inorganic, biochemistry, and physical chemistry
• show a depth of knowledge in Food Science reflecting an appropriate level of specialization and relate concepts to those of other disciplines
• able to dissect a problem into its key features; develop problem-solving skills relating to qualitative and quantitative information
• demonstrate skills in data collection, analysis, statistical evaluation and interpretation of results
• able to plan experiments, understand their limitations and develop suitable alternative procedures and methods

Effective communicator

• able to present scientific information in a clear and concise manner and to discuss them intelligently and confidently both orally and in writing
• able to collaborate with other researchers and work in a team
• able to comprehend, explore and evaluate ideas and express them clearly, logically and coherently

Reflective lifelong learner

• acquire study and self-development skills needed for continuing professional development and life-long learning
• able to reactively and pro-actively identify and address food industry issues and trends
• able to recognize dynamics between food and the food industry in different global, social, political and economic scenarios

Service – driven citizen

• exercise ethical principles and social responsibility in his / her professional and personal endeavors
• practice effective interpersonal skills in order to interact peacefully with others
• apply critical thinking skills to solve problems and generate designs, systems or products relating to chemistry and/or food science for the purpose of improving human life and meeting current needs of society

Ìý

Table 2. Summary of Units

Ìý

Lasallian Core Curriculum

Ìý

General Education Courses

Chemistry Courses

Ìý

Practicum + Thesis

Ìý

Food Science Courses

Ìý

Foundation Courses

Ìý

Other Science Courses

Course Descriptions

Foundation Courses

Core Chemistry Courses

Level 1

Level 2

Level 3

Ancillary Courses

Elective Courses

Research and Professional Engagement

Food Science Courses

Additional Courses (non-CMO/PSG)

Table 3. Comparison with other Chemistry programs

* non academic units

Bachelor of Science in Chemistry Minor in Business

The Bachelor of Science Chemistry in Minor in Business program aims to produce competent and well-trained graduates with sound understanding of chemical and business concepts. In addition, graduates are qualified to take the Chemistry Licensure Examination conducted by the Professional Regulation Commission and become licensed chemists. Their background will qualify them for careers in the following areas: formulation, analysis and testing, consulting, research and development, environmental analyses, forensics, industrial quality control, marketing, management, technical sales, teaching, chemical or instrumentation sales, entrepreneurship. They may suit up for work in private and government institutions: laboratories, manufacturing, universities and colleges, biotech firms, food processing firms, pharmaceutical companies, agricultural, and environmentally-oriented organizations.

Table 1. Summary of the BS Chemistry major in Food Science curriculum

Program Outcomes

Critical and creative thinker

• demonstrate a conceptual understanding and problem-solving skills in the fields of analytical, organic, inorganic, biochemistry, and physical chemistry
• show a depth of knowledge in Food Science reflecting an appropriate level of specialization and relate concepts to those of other disciplines
• able to dissect a problem into its key features; develop problem-solving skills relating to qualitative and quantitative information
• demonstrate skills in data collection, analysis, statistical evaluation and interpretation of results
• able to plan experiments, understand their limitations and develop suitable alternative procedures and methods

Effective communicator

• able to present scientific information in a clear and concise manner and to discuss them intelligently and confidently both orally and in writing
• able to collaborate with other researchers and work in a team
• able to comprehend, explore and evaluate ideas and express them clearly, logically and coherently

Reflective lifelong learner

• acquire study and self-development skills needed for continuing professional development and life-long learning
• able to reactively and pro-actively identify business opportunities from current issues and trends
• able to recognize dynamics between the business regulatory environment and the chemical process industry in different global, social, political and economic scenarios

Service – driven citizen

• exercise ethical principles and social responsibility in his / her professional and personal endeavors
• practice effective interpersonal skills in order to interact peacefully with others
• apply critical thinking skills to solve problems and generate designs, systems or products relating to chemistry as a business for the purpose of improving human life and meeting current needs of society

Table 2. Summary of Units

Lasallian Core Curriculum

General Education Courses

Chemistry Courses

Practicum + Thesis

Foundation Courses

Other Science Courses

Business Courses

Course Descriptions

Foundation Courses

Core Chemistry Courses

Level 1

Level 2

Level 3

Ancillary Courses

Elective Courses

Research and Professional Engagement

Additional Courses (non-CMO/PSG)

Table 3. Comparison with other Chemistry programs

COURSE SYLLABI DESCRIPTION

MTH101A FOUNDATION COURSE IN MATHEMATICS (5 units)

This is a course on pre-calculus covering the following topics: Basics of algebra, equations and inequalities in one variable, functions and their graphs, exponential and logarithmic functions, trigonometric functions, trigonometric identities, inverse trigonometric functions, trigonometric equations, polar coordinate system, coordinates and lines, curve sketching, conic sections, systems of equations, sequences, mathematical induction, and the binomial theorem.Ìý

STT101A FOUNDATION COURSE IN STATISTICS (3 units)

This is a course covering basic rules of probability, discrete and continuous probability distributions, and introduction to inferential statistics.

GEMATMW MATHEMATICS IN THE MODERN WORLD (3 units)

This course aims to discuss the nature of mathematics leading to appreciation of its practical, intellectual, social, and aesthetic dimensions.Ìý It includes the study of the nature of mathematics and how the perception of this leads to different tools for understanding and dealing with various aspects of present day living such as managing personal finances, making social choices, appreciating geometric designs, understanding codes used in data transmissions and security, and dividing limited resources fairly.

STT201A EXPLORATORY DATA ANALYSIS (3 units)

This is a course covering statistical concepts, statistical measurements, statistical notations, collection, organization and presentation of data, measures of central tendency, location, dispersion, skewness, kurtosis; boxplots and stem-and-leaf display; measures of association and relationships; rates, ratios and proportions; construction of index numbers and indicators/official statistics.

MTH201A MATHEMATICAL ANALYSIS 1 (5 units)

This is the first course in the calculus series for majors. ÌýIt covers limits, continuity, derivatives of algebraic and transcendental functions, applications of derivatives, differentials, antiderivatives, definite integrals, the Fundamental Theorem of Calculus, and some applications of the definite integral.

MTH210A INTRODUCTION TO SET THEORY (3 units)

This is a course covering the principles of symbolic logic, valid arguments and methods of proof; axioms on sets, algebra of sets; relations and functions, the natural numbers, finite and infinite sets, and cardinal numbers.

MTPROG1 COMPUTATIONAL THINKING IN PYTHON (3 units)

This course covers the fundamentals of logic formulation, computational thinking and problem solving together with their implementation in the Python programming language. This course serves as a foundation for future courses that the students will encounter throughout their program. This course will cover topics on data representation, I/O, control structures, loops and functions as well as discussions on how to use them appropriately in constructing program code.

MTH202A MATHEMATICAL ANALYSIS 2 (5 units)

This is the second course in the calculus series for majors.Ìý It covers techniques of integration, indeterminate forms, improper integrals, sequences and series, parametric equations, polar coordinates, functions of several variables and a quick look at evaluating multiple integrals.

STT203A STATISTICAL PACKAGES (3 units)

This is a course designed for Statistics/Mathematics majors, to familiarize students on the use of different statistical software (Microsoft Excel/PHStat2/MegaStat, SAS, and R) for creating and managing databases, as well as conducting simple statistical data analyses.Ìý

MTH220A NUMBER THEORY (3 units)

This is an introductory course in Number Theory taken up as a major course by students in the mathematics programs.Ìý Topics discussed include divisibility, the greatest common divisor and least common multiple, prime numbers and their properties, the unique factorization theorem, basic properties of congruences, linear congruences and linear Diophantine equations, the Chinese Remainder Theorem, applications of congruences, the theorems of Fermat, Euler and Wilson, arithmetic functions and their properties, quadratic congruences, quadratic residues and the Quadratic reciprocity law, and primitive roots.

MTH221A LINEAR ALGEBRA (3 units)

This is an introductory course in linear algebra taken up as a major course by students in the mathematics programs.Ìý Topics discussed include matrices, vector spaces, linear transformation and its matrix representations, eigenvalues and eigenvectors, and diagonalization.

MTH203A MATHEMATICAL ANALYSIS 3 (5 units)

This is the third course in the calculus series for majors.Ìý It covers multiple integration, vector spaces, and planes and lines in in , calculus of functions of several variables, and line and surface integrals.

MTH223A ABSTRACT ALGEBRA 1 (3 units)

This course is an introduction to group theory. It covers abelian and cyclic groups, subgroups, dihedral and permutation groups, normal subgroups and factor groups, Lagrange’s Theorem, fundamental homomorphism theorems and Cayley’s theorem.

MTH257A STATISTICAL THEORY 1 (3units)

A course in probability theory. Topics include the concept of sample space and events, conditional probability, probability density function, cumulative distribution functions, mathematical expectations, joint and marginal distribution functions of several random variables. Special distributions such as uniform, binomial, poisson, geometric, gamma, beta, exponential, normal, etc. are covered.

MTH258A STATISTICAL THEORY 2 (3 units)

A course in estimation of parameters and tests of hypotheses.Ìý Topics include order statistics, limiting distributions, methods of estimation, properties of estimators and hypothesis testing.

MTH224A ABSTRACT ALGEBRA 2 (3 units)

This is a major course for BS Mathematics students.Ìý It is a second course in Abstract Algebra which introduces students to other algebraic structures such as rings, integral domains and fields.Ìý It is designed to enhance the students’ skills in logical reasoning and analysis.

MTH300A THEORY OF INTEREST (3 units)

A three-unit course on the theory of measurement of interest, annuities, extinction of debts by amortization and sinking funds, bonds and other securities.

STT141A LINEAR MODELS (3 units)

A study of the various linear statistical models that arise in practice. Topics include multivariate normal distribution, distribution of quadratic forms, general linear models, estimation and tests of hypotheses about linear hypotheses and design matrices giving rise to analysis of variance models.

MTH241A DIFFERENTIAL EQUATIONS (3 units)

A course in the solution of first order differential equations and higher order differential equations, Laplace Transformations, power series method and boundary value problems.

MTH253A OPERATIONS RESEARCH 1 (3 units)

As an introductory course in Operations Research, this course focuses on the basic models, the analysis and the solution of linear optimization models.Ìý The thrust is in the analysis of problems and their solution approaches.Ìý This course provides a firsthand exposure to vast and highly relevant area of operations research.

MTH242A NUMERICAL ANALYSIS (3 units)

This is a course for mathematics and statistics majors. It introduces the students to numerical methods of approximating solutions to different classes of mathematics problems. It is designed to provide the students with real-life approaches to solving problems for which closed form solutions are not feasible.

STT161A APPLIED MULTIVARIATE ANALYSIS (3 units)

A course dealing with applications of the following multivariate techniques in real-life data: discriminant analysis, multivariate analysis of variance, canonical correlation, factor analysis and cluster analysis.

MTH254A OPERATIONS RESEARCH 2 (3 units)

This course is designed for BS Mathematics students who are majoring in Business Applications covering topics on game theory and dynamic programming.

MTH245A ADVANCED CALCULUS (3 units)

This course presents the real number system as a complete, ordered field. It discusses topological properties of Euclidean n-space, limits and continuity, sequences of constants, and sequences of functions. It also covers differentiation and pertinent results such as the Mean Value Theorem.

MTH243A COMPLEX ANALYSIS (3 units)

This course covers the definition of the complex number system.Ìý It discusses functions of a complex variable and their derivatives and integrals. Topics include the Cauchy-Riemann conditions, contour integrals, the Cauchy – Goursat Theorem, the Cauchy Integral theorem, Taylor and Laurent series, and the applications of residues.

STT163A TIME SERIES ANALYSIS AND FORECASTING (3 units)

A course dealing with the different methods of forecasting time series data – classical smoothing procedures, time series decompositionÌý and deseasonalization, ARIMA models, and Box-Jenkins method.

MTH230A MODERN GEOMETRY (3 units)

A course dealing with the geometries of the Euclidean plane, the sphere and the projective plane.Ìý The topics include congruence, isometrics, affine transformations, Desargues Theorem and Pappus Theorem.

MTH301A SELECTED TOPICS (3 units)

An introductory course in Stochastic Processes. It covers Markov chains, Poisson process, renewal, Markov chains, continuous time Markov chains and Brownian motion

MTH255A OPERATIONS RESEARCH 3 (3 units)

This course is designed for BS Mathematics students who are majoring in Business Applications covering topics on minimum cost network flow, transportation and assignment problems, integer programming, and nonlinear programming problems.

MTH421A MATHEMATICS SEMINAR (1 unit)

A course requiring eight hours of attendance in lectures or seminars conducted by visiting professors or faculty members on various topics and the remaining hours for lectures/presentations by the students.

MTH422A THESIS WRITING 1 (2 units)

This course introduces research techniques and research topics in Mathematics to enhance students’ capacity in developing a thesis proposal. The students are required to submit a thesis proposal and present it in the form of a proposal defense.

MTH411A PRACTICUM (3 units)

This is a course taken by students to allow them to apply what they have learned in class. This will also expose them to the work environment, and to the different companies employing mathematicians/statisticians.

MTH423A THESIS WRITING 2 (3 units)

The course requirement is a bachelor’s thesis done by student under the guidance of an adviser.

COURSE SYLLABI DESCRIPTION

Ìý

MTH101A FOUNDATION COURSE IN MATHEMATICS (5 units)

This is a course on pre-calculus covering the following topics: Basics of algebra, equations and inequalities in one variable, functions and their graphs, exponential and logarithmic functions, trigonometric functions, trigonometric identities, inverse trigonometric functions, trigonometric equations, polar coordinate system, coordinates and lines, curve sketching, conic sections, systems of equations, sequences, mathematical induction, and the binomial theorem.Ìý

STT101A FOUNDATION COURSE IN STATISTICS (3 units)

This is a course covering basic rules of probability, discrete and continuous probability distributions, and introduction to inferential statistics.

GEMATMW MATHEMATICS IN THE MODERN WORLD (3 units)

This course aims to discuss the nature of mathematics leading to appreciation of its practical, intellectual, social, and aesthetic dimensions.Ìý It includes the study of the nature of mathematics and how the perception of this leads to different tools for understanding and dealing with various aspects of present day living such as managing personal finances, making social choices, appreciating geometric designs, understanding codes used in data transmissions and security, and dividing limited resources fairly.

STT201A EXPLORATORY DATA ANALYSIS (3 units)

This is a course covering statistical concepts, statistical measurements, statistical notations, collection, organization and presentation of data, measures of central tendency, location, dispersion, skewness, kurtosis; boxplots and stem-and-leaf display; measures of association and relationships; rates, ratios and proportions; construction of index numbers and indicators/official statistics.

MTH201A MATHEMATICAL ANALYSIS 1 (5 units)

This is the first course in the calculus series for majors. ÌýIt covers limits, continuity, derivatives of algebraic and transcendental functions, applications of derivatives, differentials, antiderivatives, definite integrals, the Fundamental Theorem of Calculus, and some applications of the definite integral.

MTH210A INTRODUCTION TO SET THEORY (3 units)

This is a course covering the principles of symbolic logic, valid arguments and methods of proof; axioms on sets, algebra of sets; relations and functions, the natural numbers, finite and infinite sets, and cardinal numbers.

MTPROG1 COMPUTATIONAL THINKING IN PYTHON (3 units)

This course covers the fundamentals of logic formulation, computational thinking and problem solving together with their implementation in the Python programming language. This course serves as a foundation for future courses that the students will encounter throughout their program. This course will cover topics on data representation, I/O, control structures, loops and functions as well as discussions on how to use them appropriately in constructing program code.

MTH202A MATHEMATICAL ANALYSIS 2 (5 units)

This is the second course in the calculus series for majors.Ìý It covers techniques of integration, indeterminate forms, improper integrals, sequences and series, parametric equations, polar coordinates, functions of several variables and a quick look at evaluating multiple integrals.

MTH220A NUMBER THEORY (3 units)

This is an introductory course in Number Theory taken up as a major course by students in the mathematics programs.Ìý Topics discussed include divisibility, the greatest common divisor and least common multiple, prime numbers and their properties, the unique factorization theorem, basic properties of congruences, linear congruences and linear Diophantine equations, the Chinese Remainder Theorem, applications of congruences, the theorems of Fermat, Euler and Wilson, arithmetic functions and their properties, quadratic congruences, quadratic residues and the Quadratic reciprocity law, and primitive roots.

MTPROG2 ADVANCED PROGRAMMING IN PYTHON (3 units)

This course for computer programming in C covers the representation and manipulation of data structures. It reinforces the knowledge, skills, and attitudes acquired by the students in the pre-requisite course and serves as a foundation for future courses that the students will encounter throughout the program.

CCPROG3 PROGRAMMING WITH STRUCTURED DATA ANALYSIS (3 units)

This course provides students with the fundamental understanding of object-oriented (OO) technology. It exposes students to OO design and analysis using the Unified Modeling Language (UML) along with OO program implementation using the Java programming language. It also introduces the different concepts that are commonly associated with object programming such as multi-threading, event-driven programming, etc. through Java.Ìý Students are expected to be able to Design a system using the object-oriented paradigm, shown in a class diagram, program in Java using the object-oriented paradigm and implement a working Java program from given a class diagram.

CCINFOM INFORMATION MANAGEMENT (3 units)

This course provides the students with the knowledge and skills needed to plan, analyze, design, and use databases. With formal tools and foundation concepts, students are equipped with basic data management theories and principles to better understand how to build and use databases for various purposes, and to analyze data to support organizational decision-making activities. The course also tackles the identification of organizational information requirements, creation of data models, conversion of conceptual models into relational data models, and the application of normalization techniques using the Entity-Relationship (ER) model. Furthermore, technical skills on relational database design, the use of database query languages, and the development of a database system will be covered.

MTH203A MATHEMATICAL ANALYSIS 3 (5 units)

This is the third course in the calculus series for majors.Ìý It covers multiple integration, vector spaces, and planes and lines in in , calculus of functions of several variables, and line and surface integrals.

CCDSALG DATA STRUCTURES AND ALGORITHMS (3 units)

Representing information is fundamental to Computer Science. The primary purpose of most computer programs is not to perform computations, but to store and retrieve information, usually as fast as possible and efficient.Ìý For this reason, the study of data structures and the algorithms that manipulate them is at the heart of Computer Science (Shaffer, 2011)^[1]. This course is a one-term introductory on data structures and algorithms, with two main objectives: (a) to provide students with knowledge in various data structures and algorithms; and (b) introduce them techniques in analyzing the efficiency of computer algorithms. Topics to be covered, but not limited to, include representation and operations on linear and non-linear data structures (i.e., array, lists, stacks, queues, graphs, trees, and heaps), applications of data structures, different types of file organizations, hashing and time complexity-based analysis of algorithms.

MTH223A ABSTRACT ALGEBRA 1 (3 units)

This course is an introduction to group theory. It covers abelian and cyclic groups, subgroups, dihedral and permutation groups, normal subgroups and factor groups, Lagrange’s Theorem, fundamental homomorphism theorems and Cayley’s theorem.

MTH257A STATISTICAL THEORY 1 (3units)

A course in probability theory. Topics include the concept of sample space and events, conditional probability, probability density function, cumulative distribution functions, mathematical expectations, joint and marginal distribution functions of several random variables. Special distributions such as uniform, binomial, poisson, geometric, gamma, beta, exponential, normal, etc. are covered.

MTH221A LINEAR ALGEBRA (3 units)

This is an introductory course in linear algebra taken up as a major course by students in the mathematics programs.Ìý Topics discussed include matrices, vector spaces, linear transformation and its matrix representations, eigenvalues and eigenvectors, and diagonalization.

CSINTSY INTRODUCTION TO ARTIFICIAL INTELLIGENCE (3 units)

This course introduces the students to the basic concepts and techniques in the area of artificial intelligence. Concepts and techniques include knowledge representations, searching and problem solving. Furthermore, the course is designed to expose undergraduate students to functional and symbolic programming and use of an expert system shell.

MTH258A STATISTICAL THEORY 2 (3 units)

A course in estimation of parameters and tests of hypotheses.Ìý Topics include order statistics, limiting distributions, methods of estimation, properties of estimators and hypothesis testing.

MTH225A GRAPH THEORY (3units)

An introductory course in graph theoretic concepts which include connectivity, trees, traversability, factorizations, planarity, colorability. Applications in operations research and computer sciences as well as open problems are also discussed.

MTH224A ABSTRACT ALGEBRA 2 (3 units)

This is a major course for BS Mathematics students.Ìý It is a second course in Abstract Algebra which introduces students to other algebraic structures such as rings, integral domains and fields.Ìý It is designed to enhance the students’ skills in logical reasoning and analysis.

MTH241A DIFFERENTIAL EQUATIONS (3 units)

A course in the solution of first order differential equations and higher order differential equations, Laplace Transformations, power series method and boundary value problems.

MTH243A COMPLEX ANALYSIS (3 units)

This course covers the definition of the complex number system.Ìý It discusses functions of a complex variable and their derivatives and integrals. Topics include the Cauchy-Riemann conditions, contour integrals, the Cauchy – Goursat Theorem, the Cauchy Integral theorem, Taylor and Laurent series, and the applications of residues.

DATAPRE DATA INTEGRATION AND PREPARATION (3 units)

By the year 2020, the world’s accumulated data is projected to reach 44 zettabytes. This data has become a staple in daily decision-making, in the way corporations operate, how ads are targeted, and even in the way we commute. This gave rise to Data Science, a structured process of data-driven decision-making. This course exposes the students to different basic processes involved in Data Science, including collecting, cleaning, analyzing, and visualizing data. At the end of the course, the student is expected to have a fundamental knowledge of how data can be used to give insights in real world applications. The course will be composed of lectures on the basic theory of data science, but will mainly focus on simple applications in Python/R. ÌýProgramming knowledge is needed. Students are expected to learn basic programming using Python/R, and have taken a course on statistics and probabilities. Topics will include data transformation techniques (scaling, aggregation, feature selection), data analysis techniques (classification, clustering, regression), and visualization techniques.

CSALGCM ALGORITHMS AND COMPLEXITY (3units)

The course introduces formal models and the theory of computation, basic algorithm design, analysis principles and techniques applicable to different data structures. Two main areas of discussion include: formal languages and automata theory; algorithm analysis and computational complexity. The formal languages and automata theory defines the fundamental and theoretical mechanisms of how computers perform calculations, independently from the technology of their physical construction. The complementary topics of algorithm analysis and computational complexity, on the other hand, concentrate on understanding algorithms’ behavior by analyzing the amount of resources (execution time) needed by an algorithm to solve a problem. Topics of discussion include asymptotic analyzes, average-case and worse-case analyzes, recurrence analyzes, and well-known classical algorithms.

STT141A LINEAR MODELS (3 units)

A study of the various linear statistical models that arise in practice. Topics include multivariate normal distribution, distribution of quadratic forms, general linear models, estimation and tests of hypotheses about linear hypotheses and design matrices giving rise to analysis of variance models.

MTH242A NUMERICAL ANALYSIS (3 units)

This is a course for mathematics and statistics majors. It introduces the students to numerical methods of approximating solutions to different classes of mathematics problems. It is designed to provide the students with real-life approaches to solving problems for which closed form solutions are not feasible.

MTH245A ADVANCED CALCULUS (3 units)

This course presents the real number system as a complete, ordered field. It discusses topological properties of Euclidean n-space, limits and continuity, sequences of constants, and sequences of functions. It also covers differentiation and pertinent results such as the Mean Value Theorem.

DATANVI DATA ANALYSIS & VISUALIZATION (3 units)

In this course, students will learn to manipulate, analyze, and visualize data using well-used software Tableau, Python and d3.js. ÌýNo prior knowledge and experience on the software is required, but exposure to programming is expected.Ìý Classes will be conducted as a combination of sharing theoretical background and analysis related to visualization along with actual and practical use of the software to actual world data. Students (in small groups) will create (conceptualize, design, and/or code) a useful interactive visualization based on a real-world dataset.

MTH253A OPERATIONS RESEARCH 1 (3 units)

As an introductory course in Operations Research, this course focuses on the basic models, the analysis and the solution of linear optimization models.Ìý The thrust is in the analysis of problems and their solution approaches.Ìý This course provides a firsthand exposure to vast and highly relevant area of operations research.

CCAPDEV WEB APPLICATION DEVELOPMENT (3 units)

This foundation course provides an overview of web application development as a discipline concernedÌýÌý with the implementation of theory, application of knowledge, and realization of practice. It introduces the students to the principles and processes of web-based systems. It focuses on the analysis of needs of an online application and the tools available to answer these needs. This course also focuses on the different existing and emerging technologies used in the design of web-based systems. In the creation of their major course output, students will be introduced to the primary activities of software development – requirements elicitation and specification, design, implementation, and testing.

MTH230A MODERN GEOMETRY (3 units)

A course dealing with the geometries of the Euclidean plane, the sphere and the projective plane.Ìý The topics include congruence, isometrics, affine transformations, Desargues Theorem and Pappus Theorem.

CSMODEL STATISTICAL MODELING AND SIMULATION (3 units)

Computers now play a very crucial role in society, affecting different aspects of man’s day-to-day life. A myriad of computer-based applications requires extensive use of statistics and probability – data mining, machine learning, computer security, image processing, embedded systems, theoretical computer science, simulation, etc. Thus, there is a demand for keen understanding of statistics and probability in software development. This course provides Software Technology students with foundational knowledge on statistics and probability. It covers topics on inferential statistics, estimation of parameters, tests of hypothesis, and Bayesian inference.

MTH421A MATHEMATICS SEMINAR (1 unit)

A course requiring eight hours of attendance in lectures or seminars conducted by visiting professors or faculty members on various topics and the remaining hours for lectures/presentations by the students.

MTH422A THESIS WRITING 1 (2 units)

This course introduces research techniques and research topics in Mathematics to enhance students’ capacity in developing a thesis proposal. The students are required to submit a thesis proposal and present it in the form of a proposal defense.

MTH411A PRACTICUM (3 units)

This is a course taken by students to allow them to apply what they have learned in class. This will also expose them to the work environment, and to the different companies employing mathematicians/statisticians.

MTH423A THESIS WRITING 2 (3 units)

The course requirement is a bachelor’s thesis done by student under the guidance of an adviser.

COURSE SYLLABI DESCRIPTION

MTH101A FOUNDATION COURSE IN MATHEMATICS (5 units)

This is a course on pre-calculus covering the following topics: Basics of algebra, equations and inequalities in one variable, functions and their graphs, exponential and logarithmic functions, trigonometric functions, trigonometric identities, inverse trigonometric functions, trigonometric equations, polar coordinate system, coordinates and lines, curve sketching, conic sections, systems of equations, sequences, mathematical induction, and the binomial theorem.Ìý

STT101A FOUNDATION COURSE IN STATISTICS (3 units)

This is a course covering basic rules of probability, discrete and continuous probability distributions, and introduction to inferential statistics.

MTH210A INTRODUCTION TO SET THEORY (3 units)

This is a course covering the principles of symbolic logic, valid arguments and methods of proof; axioms on sets, algebra of sets; relations and functions, the natural numbers, finite and infinite sets, and cardinal numbers.

GEMATMW MATHEMATICS IN THE MODERN WORLD (3 units)

This course aims to discuss the nature of mathematics leading to appreciation of its practical, intellectual, social, and aesthetic dimensions.Ìý It includes the study of the nature of mathematics and how the perception of this leads to different tools for understanding and dealing with various aspects of present day living such as managing personal finances, making social choices, appreciating geometric designs, understanding codes used in data transmissions and security, and dividing limited resources fairly.

STT201A EXPLORATORY DATA ANALYSIS (3 units)

This is a course covering statistical concepts, statistical measurements, statistical notations, collection, organization and presentation of data, measures of central tendency, location, dispersion, skewness, kurtosis; boxplots and stem-and-leaf display; measures of association and relationships; rates, ratios and proportions; construction of index numbers and indicators/official statistics.

MTH201A MATHEMATICAL ANALYSIS 1 (5 units)

This is the first course in the calculus series for majors.Ìý It covers limits, continuity, derivatives of algebraic and transcendental functions, applications of derivatives, differentials, antiderivatives, definite integrals, the Fundamental Theorem of Calculus, and some applications of the definite integral.

STT200A MATHEMATICAL REASONING (3 units)

This course covers the principles of logic; methods of proof, fields, sigma fields and sequences of sets; the real number system; sequences and series; and combinatorial analysis.

MTH202A MATHEMATICAL ANALYSIS 2 (5 units)

This is the second course in the calculus series for majors.Ìý It covers techniques of integration, indeterminate forms, improper integrals, sequences and series, parametric equations, polar coordinates, functions of several variables and a quick look at evaluating multiple integrals.

MTPROG1 COMPUTATIONAL THINKING IN PYTHON (3 units)

This course covers the fundamentals of logic formulation, computational thinking and problem solving together with their implementation in the Python programming language. This course serves as a foundation for future courses that the students will encounter throughout their program. This course will cover topics on data representation, I/O, control structures, loops and functions as well as discussions on how to use them appropriately in constructing program code.

STT220A STATISTICAL THEORY 1 (3 units)

A course in probability theory. Topics include the concept of sample space and events, conditional probability, probability distribution functions, cumulative distribution functions, mathematical expectations, joint and marginal distribution functions of several random variables. Special discrete and continuous distributions are covered.

STT202A MATRIX THEORY (3 units)

This is an introductory course in matrix theory.Ìý Topics discussed include matrices, vector spaces, linear transformations and their matrix representations, eigenvalues and eigenvectors, and diagonalization. Emphasis is given on concepts used in statistics.

STT203A STATISTICAL PACKAGES (3 units)

This is a course designed for Statistics/Mathematics majors, to familiarize students on the use of different statistical software (Microsoft Excel/PHStat2/MegaStat, SAS, and R) for creating and managing databases, as well as conducting simple statistical data analyses.Ìý

STT222A STATISTICAL THEORY 2 (3 units)

A course in estimation of parameters.Ìý Topics include order statistics, limiting distributions, methods of estimation, properties of estimators, and interval estimation.

STT300A THEORY OF INTEREST (3 units)

A three-unit course on the theory of measurement of interest, annuities, extinction of debts by amortization and sinking funds, bonds and other securities.

STT280A INTRODUCTION TO SAMPLING THEORY (3 units)

This is a course introducing the student to the basic principles of sampling.Ìý This course includes the steps to be undertaken in conducting sample surveys, theoretical discussion on the different sampling designs (simple random sampling, probability proportional to size sampling, systematic sampling, stratified sampling, cluster sampling, and multi-stage sampling), estimation procedures using the various designs, sample size estimation as well as variance reduction techniques.

STT224A STATISTICAL THEORY 3 (3 units)

A course in tests of hypotheses and resampling techniques. Topics include hypothesis testing and resampling techniques such as jackknife, bootstrap, and Monte Carlo methods.

STT282A SURVEY OPERATIONS (3 units)

This is a course on planning of survey operation; techniques of data collection; principles of questionnaire design; data coding and encoding; data quality control; presentation of research findings.

STT241A LINEAR MODELS (4 units)

A study of the various linear statistical models that arise in practice. Topics include multivariate normal distribution, distribution of quadratic forms, general linear models, estimation and tests of hypotheses about linear hypotheses and design matrices giving rise to analysis of variance models.

STT263A TIME SERIES ANALYSIS (3 units)

A course dealing with the different methods of forecasting time series data – classical smoothing procedures, time series decompositionÌý and deseasonalization, ARIMA models, and Box-Jenkins method.

STT261A MULTIVARIATE ANALYSIS (4 units)

This course is concerned with statistical methods for describing and analyzing multivariate data. Data analysis becomes truly fascinating and challenging when several variables are involved.

STT243A EXPERIMENTAL DESIGNS (4 units)

This is an introductory course on the design and analysis of experiments.Ìý It deals with planning and conducting experiments and about analyzing the resulting data so that valid and objective conclusions are obtained.

STT226A BAYESIAN STATISTICS (3 units)

A course dealing with elements of Bayesian inference, assessment of prior likelihood and posterior distributions, Bayesian estimation and hypothesis testing, predictive distribution and asymptotics,Ìý Bayesian hierarchical models, introduction to Empirical Bayes, and Bayesian regression with the use of statistical software.

STT302A LIFE CONTINGENCIES 1 (3 units)

This is course for Actuarial Science students that covers the measurement of mortality, life annuities, life insurance, benefit premiums and benefit reserves for single life functions.

STT245A CATEGORICAL DATA ANALYSIS (3 units)

A course on statistical methods for categorical (or cross-classified) response data.

STT265A NONPARAMETRIC STATISTICS (3 units)

This course provides alternatives to classical parametric statistical procedures and discusses different nonparametric and distribution-free statistical procedures.Ìý They are grouped according to the data available: one-sample tests, two-sample tests, three or more-sample tests, goodness of fit tests, and measures of association, and simple linear regression.

STT304A LIFE CONTINGENCIES 2 (3 units)

A three-unit course that covers multiple life functions, multiple decrement models, advanced multiple life theory and population theory.

STT321A STATISTICAL QUALITY CONTROL (3 units)

This course discusses the use of statistical methods to improve the quality of products used in society.Ìý These products include manufactured goods and services.Ìý Topics include statistical process control, process design and acceptance sampling.

STT306A RISK THEORY (3 units)

A course that covers economics of insurance, individual and collective risk model, continuous time model and ruin theory.

STT320A MARKETING RESEARCH (3 units)

This course is designed to help students learn the essential principles of MARKETING RESEARCH. It will provide students with the important concepts and skills in research design and analyses necessary formaking sound marketing decisions. This course emphasizes the primary methodologies of market research as well as introduces a variety of market research techniques including appropriate sampling and multivariate strategies, and demonstrates how these marketing research techniques apply to marketing,advertising, sales, product design and development.

STT480A THESIS WRITING 1 (3 units)

This course introduces research techniques and research topics in Statistics to enhance students’ capacity in developing a thesis proposal. The students are required to submit a thesis proposal and present it in the form of a proposal defense.

STT308A SELECTED TOPICS IN ACTUARIAL SCIENCE (3 units)

An introductory course in Stochastic Processes. It covers Markov chains, Poisson process, renewal, Markov chains, continuous time Markov chains and Brownian motion.

STT400A PRACTICUM (3 units)

This is a course taken by students to allow them to apply what they have learned in class. This will also expose them to the work environment, and to the different companies employing mathematicians/statisticians.

STT482A THESIS WRITING 2 (3 units)

The course requirement is a bachelor’s thesis done by student under the guidance of an adviser.