Courses of MSc Cognitive Neuroscience
CCBS7001 PRINCIPLES OF NEUROSCIENCE 神經科學原理
Course Description
Introduction to the mammalian nervous system with emphasis on the structure and function of the human brain. Topics include the function of nerve cells, sensory systems, control of movement and speech, learning and memory, emotion, and diseases of the brain. No prerequisites, but knowledge of biology and chemistry at the high school level is assumed. The course also aims to have students to know the basic knowledge in functional aspects of nervous system organization, psychiatric and neurological disorders and molecular and cellular neurosciences.
Pre-requisite
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Offering Unit
ICI
CCBS7002 COGNITIVE NEUROSCIENCE 認知神經科學
Course Description
This course provides an introduction to the neuroscientific study of cognition. Topics surveyed in the course include the neural bases of perception, attention, memory, language, executive function, emotion, social cognition, and decision making. In covering these topics, the course will draw on evidence from brain imaging (fMRI, EEG, MEG), transcranial magnetic stimulation, electrophysiology, and neuropsychology. The course will also consider how knowledge about the brain constrains our understanding of the mind.
Pre-requisite
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Offering Unit
ICI
CCBS7003 BRAIN STIMULATION AND NEUROIMAGING TECHNIQUES 腦刺激和神經影像技術
Course Description
This course is one of the core introductory courses of the Programme that give and overview of the methodologies currently at place to study ccognition and brain function based on neuroimaging and brain intervention techniques. Methods such as functional near-infrared spectroscope (fNIRS), electroencephalography (EEG), magnetoencephalography (MEG), transcranial magnetic stimulation (TMS), Transcranial Direct Current Stimulation (tDCS) and Transcranial Alternating Current Stimulation (tACS), and others will be respectively introduced, which can provide the students with new insights into the structure and function of human brain. Nature and origin of electric, magnetic, light responses of human brain will be discussed throughout the course.
Pre-requisite
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Offering Unit
ICI
CCBS7004 MAGNETIC RESONANCE IMAGING 磁共振成像
Course Description
In this course, basic MR-physics, spatial encoding, basic pulse sequences, MR image contrast in MR, MR hardware, practical considerations, general clinical applications of MRI, perfusion and diffusion MRI, and clinical MR spectroscopy will be introduced. In addition, introduction to functional MRI (fMRI) will provide students with the basic and practical principles underlying fMRI of the brain. Students will complete the course having an in-depth introduction to neurophysiological mechanisms that couple magnetic resonance phenomenon to task- or stimulus dependent changes in neuronal activity and cerebral metabolism.
Pre-requisite
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Offering Unit
ICI
Course Description
This course will introduce a collection of computer simulation techniques useful for investigating a variety of cognitive phenomena involving perception, action, learning, and memory. This course is formatted to support interdisciplinary inquiry, with the backgrounds of students expected to vary broadly across the range of such disciplines as computer science, cognitive science, psychology, and neuroscience, as well as other related fields. The learning of both classic and contemporary methods for cognitive modeling will be facilitated by readings, presentations by class participants as well as by the instructor, homework assignments, a term project, and ample interaction and discussion between attendees.
Pre-requisite
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Offering Unit
ICI
CMED7018 BIOSTATISTICS 生物統計學
Course Description
This course is designed for master students to understand the basic bio-statistics theory and skills. The course will also teach students how to use the most advanced bio-statistics software.
Pre-requisite
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Offering Unit
ICMS
EDUC7402 PSYCHOLOGY OF LEARNING 學習心理學
Course Description
This course introduces psychological theories pertinent to the learning of students, and current views of how people learn. Particular focus is placed on linking theories to classroom situations. Topics included are: behavioristic, information- processing, constructivistic, and humanistic theories of learning.
Pre-requisite
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Offering Unit
FED
EDUC7503 ADVANCED EXERCISE PHYSIOLOGY 高級運動生理學
Course Description
Advanced Exercise Physiology provides the new theories, and the latest developments in Exercise Physiology. Topics featured in the lecture series include muscular and neurological control of movement, cardiorespiratory responses to exercise and adaptations to exercise training, methods and parameters of physiological assessment during exercise, and exercise in extreme environments. Through the study of this course, students will improve their abilities to engage in teaching and doing scientific research upon physical activity and athletic training.
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Offering Unit
FED
Course Description
This course focuses on an integrated study of human development across the life span with implications for educational psychology. It aims at familiarizing students with current state of knowledge and major theories of human development with particular emphasis on childhood and adolescence. The interrelationship among biological, social-psychological, and educational factors that influence human development will be examined. In particular the influence of Chinese culture and context on development during the childhood and adolescence will be discussed.
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Offering Unit
FED
Course Description
This course provides a systematic study of linguistic theories, methods and findings concerning the description of natural language, Language acquisition and learning, intelligibility, normal and impaired speech, language developmental and acquired disorders.
Covering areas of human speech development, production and perception, prosody, language variation and bilingualism, students will be able to understand how does brain process language, the effects of neurological disorders and brain injury on language use. They will become familiar with the tools most often used for language, speech and voice analysis, such as FEELtrace (evaluating dynamics of speech), Hoarseness Diagram (properties of normal and pathological voices) and PRAAT (speech and phonetics analyses).
Covering areas of human speech development, production and perception, prosody, language variation and bilingualism, students will be able to understand how does brain process language, the effects of neurological disorders and brain injury on language use. They will become familiar with the tools most often used for language, speech and voice analysis, such as FEELtrace (evaluating dynamics of speech), Hoarseness Diagram (properties of normal and pathological voices) and PRAAT (speech and phonetics analyses).
Pre-requisite
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Offering Unit
FAH
Course Description
This course introduces students to the biological, neurological and cognitive bases for language, language development, multilingualism and second language acquisition, and language disorders. It will also deal with some aspects of natural language processing in relation to certain areas of linguistic analysis: phonology, the lexicon, morphology, syntax, semantics, and discourse.
Pre-requisite
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Offering Unit
FAH
Course Description
This course will examine current theories of second language acquisition, in relation to the acquisitional process, developmental stages, and external factors conditioning acquisition, including the effects of the first language, age of acquisition, motivation, instructional context and the nature of input. Topics discussed will include the critical period hypothesis, cross-linguistic influences, individual differences such as cognition, affect and language aptitude.
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Offering Unit
FAH
Course Description
This course introduces key concepts and approaches to the sociolinguistics of bilingualism and multilingualism, with a particular focus on Chinese communities such as Macau, Hong Kong, Singapore, Taiwan and other Chinese cities. Topics covered include language use in bilingual/multilingual communities, language choice, language maintenance and shift, language attitudes and language ideologies, and language in globalization. Students are encouraged to reflect on their own bilingual or multilingual experience to apply the theories or models critically in their own social contexts. Not only classic papers but also current research articles will be discussed in the hope of providing the necessary background for students who consider writing their MA theses on topics of societal bilingualism or multilingualism.
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Offering Unit
FAH
Course Description
This essentially interdisciplinary course aims to introduce students the basic principles & techniques for biomedical transducers and instrumentations. This course covers sensing and measurement for qualitative description and quantitative analysis in biomedical engineering field mainly on noninvasive techniques.
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Offering Unit
FST
Course Description
The course introduces Deep Learning (DL) basics, methods, and algorithms, with hands-on practice using modern DL library tools (e.g., PyTorch). After the introductory lecture on deep learning, the course first covers the fundamental of neural networks, including universal approximator theory, learning neural networks, backpropagation, optimization, stochastic gradient descent, and tricks on training neural networks, and then focuses on typical neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, and Generative Neural Networks.
Pre-requisite
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Offering Unit
FST
Course Description
Overview of Artificial Intelligence Application Areas, Languages and Programming Techniques for Artificial Intelligence, Problem Solving, Knowledge-based Systems, Knowledge Representation, Planning, Machine Learning, Natural Language Processing, Genetic Algorithms.
Pre-requisite
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Offering Unit
FST
Course Description
The course will start from the very beginning of the ML basis. First, the basic concepts such as liner algebra; probability and information theory, and numerical methods will be introduced. Next machine learning overview, inductive learning, and representation learning will be introduced. Basic deep learning processes are designed as artificial neural network; Bayesian Networks and learning; Deep learning and deep neural networks; convolution neural network. Throughout the course, practical methodology of using tools such as Tensorflow or Karas etc. will be be emphasized.
Pre-requisite
Student should possess basic knowledge in Math, in particular, linear algebra, and Programming skills with python
Offering Unit
FST
Course Description
This course aims to be informative and practical. It focuses on developing learners’ overall knowledge on the history, prevalence, theories, research, assessment, and interventions of different types of behavioral addiction, including gambling disorder, gaming disorder, internet/smartphone addiction, compulsive eating and buying, and workaholism. Specific attention will be paid to their biological, neurological, and cognitive features and mechanisms. Students will learn to identify different types of risk factors for the development and maintenance of behavioral addiction. Through team project and experiment participation, students will have hands-on experience of theory application and use of common assessment tools in the Chinese context.
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Offering Unit
FSS
Course Description
This course focuses on the application of psychological knowledge to gambling behaviors. Topics include motivations, decision-making strategies, cognitive heuristics and biases, group and social influences, and pathological addictive gambling behaviors. Students will be able to better formulate organizational strategies for integrated resorts and enhancing both their communication and analytical skills.
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Offering Unit
FBA
CCBS7006 NEUROECONOMICS 神經經濟學
Course Description
Neuroeconomics is the study of human behavior, decision making in particular, by adopting the value-based approach in economics and through the use the neuroscientific methodologies. Behavioral economics is a confluence of economics, psychology and neuroscience. The course will start with some normative theory from economics. Yet decision makers do not behave “rationally” as required by the classical economic theory. These psychological insights will be discussed based on the theoretical frameworks in behavioral economics such as behavioral decision theory and behavioral game theory. We will then survey the neuroscientific studies motivated by these theories.
Pre-requisite
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Offering Unit
ICI
Course Description
A project report is required for all students completing the UM CNS Program. By the nature of this program, the performance of projects cuts across departmental boundaries, with faculty from neurobiology, psychology & neuroscience, radiology, psychiatry, biomedical science, engineering, neurology, biology, and philosophy. Thus, the program explicitly involves collaboration between FAH, FSS, FED, ICMS, FHS, and FBA. Students will join individual labs and be guided by Professors in different faculties. By doing a project, students will synthesize and integrate knowledge from their course work, apply it to a particular topic area, and communicate their ideas and findings through a scholarly written thesis. Additionally, students are encouraged to publish their thesis in academic journals.
Offering Unit
ICI