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Module Detailed Information for [CS5242]
Academic Year : 2018/2019 Semester : 2
Correct as at 21 Feb 2019 05:00

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Module Information
Module Code :
Module Title : Neural Networks and Deep Learning
Module Description : This module provides students with the knowledge of deep neural network and enables them to apply deep learning methods effectively on real world problems. The module emphasizes on the understanding of the principles of neural networks and deep learning; practical guidelines and techniques for deep learning; and their applications. Through assignments and projects, students will design, develop, and evaluate deep learning-based solutions to practical problems, such as those in the areas of computer vision, bioinformatics, fintech, cybersecurity, and games.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : CS3244 Machine Learning
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 2-0-0-5-3
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
Class TypeWeek TypeWeek DayStartEndRoom Iteration
Available in Tutorial Balloting [Iteration 2].

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