MIEG - Department of Information Engineering

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Transcript MIEG - Department of Information Engineering

Mathematics & Information Engineering
Interdisciplinary Programme (MIEG)
Bob Li & Chandra Nair
Dept of Info Eng
Mathematics & Information Engineering
Interdisciplinary Programme (MIEG)
Degree: B.Sc. in Mathematics and Information Engineering
Enables students to develop in-depth mathematical thinking
and solid engineering skills
Jointly offered by Department of Information Engineering &
Department of Mathematics
Scholarships in both departments are available to MIEG
majors
M + IE connections  a quick list
Mathematics
Discrete Fourier Transform
Discrete Time Series Analysis
Recursive Regression
Statistical Analysis
Data Analysis
Random Processes
Martingale
Real Analysis
Probability Theory
Combinatorics
Number Theory
Linear Algebra
Galois Theory
Algebraic Curves
Ring Theory
Graph Theory
Information Engineering
Digital Signal Processing
Image Processing
Digital Compression
Adaptive Algorithms
Machine Learning
Neural Networks
Genetic patterns
Encryption
Network Security
Traffic Analysis
Switching
Information Theory
Error Correction Codes
Network Coding
Engineer vs. Mathematician
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Engineer ≈ inventor: applies scientific principles to develop
useful objects in the real world
Mathematician ≈ discoverer: discovers beautiful phenomenon in
the “perfect” world defined by axioms
Information
engineering
Mathematics
Engineer vs. Mathematician

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Engineer ≈ inventor: applies scientific principles to develop
useful objects in the real world
Mathematician ≈ discoverer: discovers beautiful phenomenon in
the “perfect” world defined by axioms
MIEG
Major required subjects
MATH 1050
MATH 1030 & MATH 2040
MATH 2010 & 2020
MATH 3280 or ENGG 2430
MATH 2070
MATH 2230
MATH 2050
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Foundations of modern mathematics
Linear algebra
Advanced Calculus
Probability
Algebra
Complex variables
Real analysis
CSCI 2100
IERG 2051
ENGG 2310/3820
IERG 3080
IERG 3310/3921
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Data Structures
Signal Processing
Communication Systems / Lab
Software Design Principles
– Computer Networks / Lab
Admission quota
For year-1 Enrichment Math students = 7 (out of 27)
For year-1
Engineering
students  25 (out of 500)
Some recent MIE graduates
1. Ka Kit Lam – graduated 2011
– Ph.D. candidate, EECS, UC Berkeley
2. Li Cheuk Ting – graduated 2012
– Ph.D. candidate, EE, Stanford
3. Yin Zi – graduation expected 2013 – Ph.D. admission, EE, Stanford