All Courses(A-Z)
Course Code
MATH1001
Course Name
Advanced Mathematics
Credit
4.0 - 4.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
张宇
2020/2021 Fall Winter
黄雯雯
2019/2020 Fall Winter
Bocharov, Sergey
2018/2019 Fall Winter
Bocharov, Sergey
2017/2018 Spring Summer
Bocharov, Sergey
Introduction
Advanced Mathematics is a fundamental university-level mathematics course. You will learn the skills and techniques to solve the mathematical problems in biology and medicine. The course consists of two parts: Calculus, and Probability and Statistics.Part I - Calculus. Calculus is a branch of mathematics that was developed in the latter half of the 17th century. There are two branches of calculus: differential calculus and integral calculus. Differential calculus (derivatives) involves the study of all sorts of rates of change, including the slope of a tangent line.
Course Code
IBMS8015A
Course Name
Applied Data Science 2
Credit
0.0 - 0.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Butala,Mark
2020/2021 Fall Winter
Stefan, Melanie Isabelle
2019/2020 Fall Winter
Stefan, Melanie Isabelle
Introduction
This course provides an introduction to probability, statistics, and data analysis from a computer programmer’s point of view. You will make use of computer simulations to develop an intuitive understanding of statistical concepts, which you will then examine more rigorously. An emphasis is placed on building practical skills in regular computing practicals and formative exercises.
Course Code
IBMS8015B
Course Name
Applied Data Science 2
Credit
5.0 - 5.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2019/2020 Spring Summer
Stefan, Melanie Isabelle
Introduction
This course provides an introduction to probability, statistics, and data analysis from a computer programmer’s point of view. You will make use of computer simulations to develop an intuitive understanding of statistical concepts, which you will then examine more rigorously. An emphasis is placed on building practical skills in regular computing practicals and formative exercises.
Course Code
IBMS8006
Course Name
Biomedical Genetics 2
Credit
5.0 - 5.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Dokuchaev,Nikolai
2020/2021 Fall Winter
陈迪, 戈万忠, 李晨, 杨小杭
2019/2020 Fall Winter
仓晓慧, 戈万忠, 席咏梅, 杨小杭
2018/2019 Fall Winter
戈万忠, 杨小杭, 周怡然
2017/2018 Fall Winter
徐素宏, 杨小杭
Introduction
Biomedical Genetics 2 aims to investigate the basis of modern human molecular genetics. The course focuses on the development of knowledge and understanding of the organisation of the human genome, and the regulation and function of gene expression. Concepts will be introduced in lectures through evaluation of experimental approaches and genomic technologies used in the analysis of the structure and expression of genes, including in model organisms.
Course Code
IBMS10010
Course Name
Biomedical Image Analysis 4
Credit
5.0 - 5.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Romano,Nico, Young,Robert
Introduction
生物医学图像分析4
Course Code
IBMS9008
Course Name
Biomedical Informatics 3
Credit
5.0 - 5.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Davide Fassio
2020/2021 Fall Winter
陈新, 刘琬璐
Introduction
Biomedical Informatics 3 provides students the opportunity to develop their skills and understanding of two key themes: algorithms in biomedical informatics and image analysis. The course will provide a solid theoretical foundation on various algorithms, with an emphasis how these algorithms can be applied to biomedical problems. The second theme of the course is image analysis, as biomedical research and clinical image data is increasingly requiring quantitative processing and analysis skills.
Course Code
IBMS10009B
Course Name
Biomedical Informatics Synoptic Assignment
Credit
2.5 - 2.5
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Introduction
生物信息学综合评价
Course Code
IBMS10011
Course Name
Brain, Cognition and Artificial Intelligence 4
Credit
5.0 - 5.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Luksys,Gedi
Introduction
大脑,认知与人工智能4
Course Code
IBMS10004
Course Name
Cancer Biology 4
Credit
5.0 - 5.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Mikki,Said
Introduction
Cancer Biology 4
Course Code
CHIN1001
Course Name
ChineseⅠ
Credit
5.0 - 4.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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2021/2022 Fall Winter
Dokuchaev,Nikolai
2020/2021 Fall Winter
陈大龙, 周金蓉
2019/2020 Fall Winter
陈大龙, 翟潇
2018/2019 Fall Winter
陈大龙, 卢俊宏
2017/2018 Fall Winter
翟潇
Introduction
“Chinese I-IV” are compulsory courses for international undergraduate students, which aims to help them get basic knowledge of the language, practical conversation skills and some cultural knowledge in the language, so that they can adept themselves into the life in China better and get prepared for potential further studies work in China and communications with Chinese speakers. In the series of Chinese courses students’ skills of listening, speaking, reading and writing will all be trained and developed.