Page 174 - FINAL_HANDBOOK_20242025

Faculty of Science Handbook, Academic Session 2024/2025

Multiple linear regressions: SIT2011
Estimated multiple linear STATISTICS AND
regression. Hypothesis testing, COMMUNITY
ANOVA, Confidence Interval,
Model selection criteria, This course exposes students
Diagnostics for influential to some aspects of statistics in
observations and community. The main aim is to
multicollinearity. Introduction to highlight the role of official
logistic and Poisson statistics in society. The topics
regression. chosen for this course come
from a variety of different
Assessment: areas, for example,
Continuous Assessment: 40% statisticians and their work,
Final Examination: 60% statistics and technology, and
statistics and society. Students
will work in groups on projects
SIT2010 related to the topics discussed
STOCHASTIC PROCESSES in lectures. Students will use
elements of statistics in the
Definition and examples of planning a community project
stochastic processes: including designing
Gambler’s ruin problem, questionnaire, collecting/
Brownian motion and Poisson managing/analyzing data and
process. Introduction to simple reporting the findings. Each
random walk. Discrete time group is required to identify and
Markov Chains. Transition plan activities for a community
probability. Properties of class. partnership that will not only
Transience and recurrence help them to enhance their
properties. Absorbing understanding or gain a
probability. Stationary different perspective of their
distribution and limiting project but will also be
probability. Markov chain beneficial to the community
simulations and applications. partner. Each student will be
Assessment: required to record a reflection
Continuous Assessment: 40% of their experiences before,
Final Examination: 60% during and after the field work
at the community partner and
to submit their record with the
group project report at the end
of the semester. Students are
also required to do a group
presentation based on the
project.

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