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Overview

Learning MethodsMajor FocusThe AC DifferenceCareer Outlook

Learning Methods

We use various active learning methods such as interactive lectures, individual and group activities, project-based learning, problem-solving, audio-visual presentations, and statistical software.

Major Focus

The focus of our courses is on the broad understanding of the statistical methods and computational and presentation skills for statistical problem-solving. We also develop students’ ability to systematically think about how to describe the world around us and use data to make decisions and predictions.

The AC Difference

Small class sizes, enhanced teacher-student interaction, use of instructional scaffolding, and students’ prior knowledge and skills as a basis for building new statistical knowledge.

Career Outlook

Statistics develops knowledge and skills to analyze data and apply statistical techniques to solve real-world problems. As our global society is becoming increasingly data-rich and data-dependent, there is a high demand for statisticians in various fields such as business, finance, engineering, health care, market research, and the demand will continue to grow significantly.

Course Descriptions

Select a course below to see full descriptions. (#) Indicates amount of credits per course

STAT 200 Introduction to Statistics (3)

Statistical research methodology and associated analysis techniques aimed at a non-mathematical audience (non-calculus based). This course introduces procedures that are most commonly used in the investigation of survey and experimental data.

Prerequisite(s):

ENGL 098, MATH 12 (C) or MATH 100, and completion of at least 9 post-secondary credit hours

Transfers to:

UBC STAT 200 (3)
SFU STAT 201 (3) Q
UVIC STAT 255 (1.5)
UNBC STAT 240 (3)
TRU STAT 2000 (3) or TRU ECON 2320 (3)

STAT 270 Introduction to Probability and Statistics (3)

This is a calculus-based introductory statistics course which provides a comprehensive introduction to statistics, the science of data. It is intended for students who have experience with calculus. Topics include: an introduction to probability; discrete and continuous random variables and their probability distributions; joint distributions; expectation; sampling distributions; central limit theorem; confidence intervals and hypothesis testing; correlation and linear regression.

Prerequisite(s):

ENGL 098, MATH 105 (C) or MATH 152

Transfers to:

UBCV STAT 251 (3)
UVIC STAT 260 (1.5)
TRU STAT 2230 (3)

Kamran Fakhar (PhD, MPhil, MSc, BSc)

Instructor

Kamran Fakhar (PhD, MPhil, MSc, BSc)

Instructor

Kamran Fakhar is a Mathematics Instructor at Alexander College, since 2016.

He received his Ph.D. in applied mathematics in 2005 from USTC, post doctorate at ICTS from 2005-2007 and a research associate position in UBC since 2014.

He has published over 40 research articles in international referred journals. He also supervised two PhD and five master’s students.

Kamran has more than 12 years of teaching experience which includes teaching mathematics at different levels at different universities and colleges inside and outside Canada.

He also has won several scholarships, academic awards, medals and distinctions certificates during his academic carrier.

Dr. Krishna Subedi (PhD, M.Ed, MA, Bachelor of Management, BA)

Instructor

Dr. Krishna Subedi (PhD, M.Ed, MA, Bachelor of Management, BA)

Instructor

I joined Alexander college in 2009 as a mathematics instructor in mathematics department and has been teaching various mathematics courses ever since.

I hold several degrees in Mathematics and Mathematics education; an M.A. (Mathematics) from Tribhuvan University, Nepal; an M.Ed. (Mathematics emphasis) from Endicott College, USA, and a Ph.D. from Simon Fraser University, Canada.

My research interests are in the field of theories and pedagogical practices in mathematics education.

I am interested at exploring how teachers and students deal with mathematical abstraction in teaching and learning in an attempt to translate abstract mathematical concepts into understandable ideas.

Telyn Chan-Kusalik (MSc, BA)

Instructor

Telyn Chan-Kusalik (MSc, BA)

Instructor

I have taught at the University of the Fraser Valley, Vancouver Community College, Thompson Rivers University, and Champlain Regional College.

I hold an M.Sc. in Pure Mathematics from McGill University, a B.A. (honours) in Mathematics and Philosophy from Queen’s University, and a Provincial Instructor’s Diploma from Vancouver Community College.

I take a teaching approach which is technology-intense and learner-centred, and I ensure that students in my classes are encouraged to participate.

In my studies, I took an interest in Foundations of Mathematics, but my more recent research interests lie in Teaching and Learning.

I like getting a chance to meet students, colleagues, and others interested in my work. Contact me at t.kusalik@alexandercollege.ca or stop by my office hours.

Luc Lapierre (MSc, BSc)

Instructor

Luc Lapierre (MSc, BSc)

Instructor

Luc Lapierre obtained an M.Sc. in pure mathematics from Simon Fraser University in 2016. He joined Alexander College in January 2017, and has enjoyed teaching there ever since.

Luc’s research portfolio centers on cryptographic primitives arising from finite fields of characteristic two, and algebraic graph theory.

Aside from learning and sharing mathematics, Luc enjoys olympic weightlifting, ice hockey, and caring for his five rabbits.

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