Enquiry for Course Details
ASAI4022 Omics data analysis (6 credits) Academic Year 2025
Offering Department SCDS (Department of Statistics and Actuarial Science) Quota 30
Course Co-ordinator Prof G Yin, SCDS (Department of Statistics and Actuarial Science) < gyin@hku.hk >
Teachers Involved (Prof G Yin,Statistics & Actuarial Science)
Course Objectives This course introduces omics data acquisition techniques and emphasizes advanced statistical tools to analyze the high-throughput omics data. This course is designed for learners with basic background knowledge in molecular biology who are interested in different aspects of omics and bioinformatics. This course aims to introduce the tools and techniques needed to obtain, analyze, and interpret a variety of modern genome-scale data types.
Course Contents & Topics Introduction to molecular biology, omics, and high throughput technologies, analysis of microarray data, analysis of high-throughput data, experimental design commonly encountered in genomic data analysis, functional genomics, enrichment analysis.
Course Learning Outcomes
On successful completion of this course, students should be able to:

CLO 1 obtain an overview of current computational systems biology approaches for omics data analysis
CLO 2 understand the principles behind data pre-processing, quality control and analysis of large-scale biological datasets
CLO 3 apply basic computational and statistical tools to analyze multiple omics data types
CLO 4 learn the basics of machine learning analysis for omics sample clustering and classification
Pre-requisites
(and Co-requisites and
Impermissible combinations)		 Pass in SDST2602, and pass or already enrolled in SDST3612; and
Not for students who have passed in SDST4022, or already enrolled in this course.
Knowledge in basic molecular biology/biochemistry/bioinformatics, undergraduate level statistics knowledge and programming skills are needed.
For BASc(AppliedAI) students only.
Only for students admitted in 2025 and thereafter.
Course Status with Related Major/Minor /Professional Core 2U000C00 Course not offered under any Major/Minor/Professional core
2025 Bachelor of Arts and Sciences in Applied Artificial Intelligence ( Disciplinary Elective )
Course to PLO Mapping 2025 Bachelor of Arts and Sciences in Applied Artificial Intelligence < PLO 3,5 >
Offer in 2025 - 2026 Y        2nd sem    Examination May     
Offer in 2026 - 2027 Y
Course Grade A+ to F
Grade Descriptors
A Demonstrate thorough mastery at an advanced level of extensive knowledge and skills required for attaining all the course learning outcomes. Show strong analytical and critical abilities and logical thinking, with evidence of original thought, and ability to apply knowledge to a wide range of complex, familiar and unfamiliar situations. Apply highly effective organizational and presentational skills.
B Demonstrate substantial command of a broad range of knowledge and skills required for attaining at least most of the course learning outcomes. Show evidence of analytical and critical abilities and logical thinking, and ability to apply knowledge to familiar and some unfamiliar situations. Apply effective organizational and presentational skills.
C Demonstrate general but incomplete command of knowledge and skills required for attaining most of the course learning outcomes. Show evidence of some analytical and critical abilities and logical thinking, and ability to apply knowledge to most familiar situations. Apply moderately effective organizational and presentational skills.
D Demonstrate partial but limited command of knowledge and skills required for attaining some of the course learning outcomes. Show evidence of some coherent and logical thinking, but with limited analytical and critical abilities. Show limited ability to apply knowledge to solve problems. Apply limited or barely effective organizational and presentational skills.
Fail Demonstrate little or no evidence of command of knowledge and skills required for attaining the course learning outcomes. Lack of analytical and critical abilities, logical and coherent thinking. Show very little or no ability to apply knowledge to solve problems. Organization and presentational skills are minimally effective or ineffective.
Communication-intensive Course N
Course Type Lecture-based course
Course Teaching
& Learning Activities
Activities Details No. of Hours
Lectures 36.0
Tutorials 12.0
Assessment Methods
and Weighting
Methods Details Weighting in final
course grade (%)		 Assessment Methods
to CLO Mapping
Assignments Coursework (assignments; may include project report) 60.0 1,2,3,4
Examination One 2-hour written examination 40.0 1,2,3,4
Required/recommended reading
and online materials
Course Website http://moodle.hku.hk
Additional Course Information