| Academic Year |
2025 |
| Offering Department |
SCDS (Department of Statistics and Actuarial Science) |
Quota |
15
|
| 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 APAI4022, or already enrolled in this course.
Knowledge in basic molecular biology/biochemistry/bioinformatics, undergraduate level statistics knowledge and programming skills are needed.
Only for students admitted in 2025 and thereafter. |
| Course to PLO Mapping |
|
| 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 |
|