Study year 2

Master's Programme, Machine Learning, 120 credits (TMAIM), Programme syllabus for studies starting in autumn 2016

The following courses are part of study year two.

The course application codes and study periods are valid for the academic year 2017/2018. For other academic years, different application codes and study periods may apply.

General

A.1.2. Common Elective Courses

Selected freely from all Second cycle courses and language courses given at KTH. First cycle courses at KTH may be taken upon permission from the Programme Director. Not more than 30 ECTS credits in total can be acquired from First cycle courses.

A student must take at least 4 courses from the grouping listed in A.2 and at least 2 courses from the grouping of courses in A.3 and A.4.

A.2 Conditionally Elective Courses - Application Domains

COMPUTER VISION:
DD2423 Image Analysis and Computer Vision, 7,5 hp,
DD2424 Deep learning in Data Science, 7,5 hp,
DD2429 Computational photography, 6 hp.

Language Processing: Speech & Text
DT2112 Speech Technology, 7,5 hp,
DT2119 Speech and Speaker Recognition, 7,5 hp.

VISUALIZATION:
DD2257 Visualization, 7,5 hp.

ROBOTICS:
DD2438 Artificial Intelligence and Multi Agent Systems, 15 hp,
DD2425 Robotics and Autonomous Systems, 9 hp.

DATABASES/INFORMATION RETRIEVAL:
DD1368 Database Technology, 6 hp,
DD2476 Search Engines and Information Retrieval Systems, 9 hp,

COMPUTATIONAL BIOLOGY:
DD2435 Mathematical Modelling of Biological Systems, 9 hp,
DD2401 Neuroscience, 7,5 hp,
DD2402 Advanced Individual Course in Computational Biology, 6 hp,
DD2404 Applied Bioinformatics, 7,5 hp.

A.3 Conditionally Elective Courses - Theory

MATHEMATICS:
EL2320 Applied Estimation, 7,5 hp,
SF1811 Optimization, 6 hp

STATISTICS & PROBABILITY:
DD2447 Statistical Methods in Applied Computer Science, 6 hp,
SF2930 Regression Analysis, 7,5 hp,
SF2943 Time Series Analysis, 7,5 hp,
SF2940 Probability theory, 7,5 hp.

MACHINE LEARNING:
EQ2340 Pattern Recognition, 7,5 hp,
DD2432 Artificial Neural Networks and Deep Architectures, 7,5 hp.

A.4 Conditionally Elective Courses - Computer Science

PARALLEL COMPUTING:
SF2568 Parallel Computations for Large- Scale Problems, 6 hp.

THEORY:
DD2352 Algorithms and Complexity, 7,5 hp.

Software Engineering:

DD1388 Program System Construction Using C++, 7,5 hp. (only in Swedish)
DH2642 Interaction Programming and the Dynamic Web 7.5 hp
ID2213 Logic Programming, 7.5 hp

Security:
DD2395 Computer security, 6 hp,
DD2448 Foundations of Cryptography, 7,5 hp.

Mandatory Appl.code Scope Study period
 1   2   3   4 
DD2301 Program Integrating Course in Machine Learning 3.0 hp 0.5 0.5
DA221X Degree Project in Computer Science and Communication, Second Cycle
For students admitted to a Master programme at CSC
30.0 hp 15.0 15.0
DA222X Degree Project in Computer Science and Communication, Second Cycle
Engineering students admitted to a master programme at CSC
30.0 hp 15.0 15.0
SF288X Degree Project in Optimization and Systems Theory, Second Cycle 30.0 hp 15.0 15.0
SF299X Degree Project in Mathematical Statistics, Second Cycle 30.0 hp 15.0 15.0

Conditionally elective Appl.code Scope Study period
 1   2   3   4 
DD2257 Visualization 7.5 hp 7.5
DD2429 Computational Photography 6.0 hp 6.0
EQ2340 Pattern Recognition 7.5 hp 7.5
ID2213 Logic Programming 7.5 hp 7.5
SF2940 Probability Theory 7.5 hp 7.5
DD2425 Robotics and Autonomous Systems 9.0 hp 3.5 5.5
DD2435 Mathematical Modelling of Biological Systems 9.0 hp 6.0 3.0
DD2404 Applied Bioinformatics 7.5 hp 7.5
DD2418 Language Engineering 6.0 hp 6.0
DD2423 Image Analysis and Computer Vision 7.5 hp 7.5
DD2447 Statistical Methods in Applied Computer Science 6.0 hp 6.0
EL2320 Applied Estimation 7.5 hp 7.5
SF1811 Optimization 6.0 hp 6.0
DD2437 Artificial Neural Networks and Deep Architectures 7.5 hp 7.5
DT2112 Speech Technology 7.5 hp 7.5
SF2930 Regression Analysis 7.5 hp 7.5
DD1388 Program System Construction Using C++
Given in Swedish
7.5 hp 4.0 3.5
DD2352 Algorithms and Complexity 7.5 hp 4.5 3.0
DD2402 Advanced Individual Course in Computational Biology 6.0 hp 3.0 3.0
DD2438 Artificial Intelligence and Multi Agent Systems 15.0 hp 7.0 8.0
DD2476 Search Engines and Information Retrieval Systems 9.0 hp 6.0 3.0
DH2642 Interaction Programming and the Dynamic Web 7.5 hp 4.5 3.0
SF2568 Parallel Computations for Large- Scale Problems 7.5 hp 3.0 4.5
DD2401 Neuroscience 7.5 hp 7.5
DD2424 Deep Learning in Data Science 7.5 hp 7.5
DT2119 Speech and Speaker Recognition 7.5 hp 7.5
SF2943 Time Series Analysis 7.5 hp 7.5
DD1368 Database Technology 6.0 hp