Study year 2

Master's Programme, Information and Network Engineering, 120 credits (TINNM), Programme syllabus for studies starting in autumn 2018

The following courses are part of study year two.

The course application codes and study periods are valid for the academic year 2019/2020. For other academic years, different application codes and study periods may apply.

General

General courses

Mandatory Appl.code cr. Study period
 1   2   3   4 
EQ2222 The Sustainable Information and Network Engineer 3.0 0.5 0.5 0.3 0.2

Recommended Appl.code cr. Study period
 1   2   3   4 
EP2300 Management of Networks and Networked Systems 51243 7.5 7.5
EP2700 Principles of Wireless Sensor Networks 50939 7.5 7.5
EQ2415 Machine Learning and Data Science 50696 7.5 7.5
EQ2425 Analysis and Search of Visual Data 50409 7.5 7.5
EQ2810 Estimation Theory, Accelerated Program Course 50694 6.0 6.0
IK2510 Wireless Networks 50221 7.5 7.5
SF2935 Modern Methods of Statistical Learning 50327 7.5 7.5
ME2072 Entrepreneurship for Engineers 50653 6.0 3.0 3.0
DD2434 Machine Learning, Advanced Course 50241 7.5 7.5
EH2030 Business Development and Quality Management 50556 7.5 7.5
EL2805 Reinforcement Learning 50161 7.5 7.5
EP2420 Network Analytics 50065 7.5 7.5
EP2510 Advanced Networked Systems Security 50246 7.5 7.5
EP2790 Security Analysis of Large-Scale Computer Systems 51852 7.5 7.5
EQ2443 Project in Information Engineering 50924 7.5 7.5
EQ2444 Project in Communication Engineering 50242 7.5 7.5
EQ2445 Project in Multimedia Processing and Analysis 50507 7.5 7.5
EQ2850 Coding for Wireless Communications, Accelerated Program 50249 7.5 7.5
IK2514 Wireless Infrastructure Deployment & Economics 50935 7.5 7.5
LS1419 English for Employment 50160 7.5 7.5
ME2089 Leadership in Cross-Cultural and Industrial Contexts 51294 6.0 6.0
LS1465 Rhetoric - Speaking and Writing for Impact 60238 7.5 7.5
LS2439 English for Writing and Presenting a Degree Project in Science and Engineering 60101 7.5 7.5
AK1213 Swedish Society, Culture and Industry in Historical Perspective 60229 7.5 3.5 4.0
LS1502 Swedish A1 for Engineers 60088 7.5 4.0 3.5
EQ2820 Matrix Algebra, Accelerated Program 60178 7.5 7.5
EQ2860 Theoretical Foundations of Wireless Communications 60686 7.5 7.5
LS2429 Technical Communication in English 60100 7.5 7.5

Specialisations

Track, Communications Engineering (COE)

Mandatory Appl.code cr. Study period
 1   2   3   4 
EQ2444 Project in Communication Engineering 50242 7.5 7.5

Recommended Appl.code cr. Study period
 1   2   3   4 
EQ2850 Coding for Wireless Communications, Accelerated Program 50249 7.5 7.5
EQ2860 Theoretical Foundations of Wireless Communications 60686 7.5 7.5

Track, Information Engineering (INF)

Mandatory Appl.code cr. Study period
 1   2   3   4 
EQ2443 Project in Information Engineering 50924 7.5 7.5

Recommended Appl.code cr. Study period
 1   2   3   4 
EQ2415 Machine Learning and Data Science 50696 7.5 7.5
EQ2810 Estimation Theory, Accelerated Program Course 50694 6.0 6.0
SF2935 Modern Methods of Statistical Learning 50327 7.5 7.5
DD2434 Machine Learning, Advanced Course 50241 7.5 7.5
EQ2820 Matrix Algebra, Accelerated Program 60178 7.5 7.5

Track, Multimedia Processing and Analysis (MMB)

Mandatory Appl.code cr. Study period
 1   2   3   4 
EQ2445 Project in Multimedia Processing and Analysis 50507 7.5 7.5

Recommended Appl.code cr. Study period
 1   2   3   4 
EQ2415 Machine Learning and Data Science 50696 7.5 7.5
EQ2425 Analysis and Search of Visual Data 50409 7.5 7.5
EQ2810 Estimation Theory, Accelerated Program Course 50694 6.0 6.0

Track, Networked Systems (NWS)

At least one of the courses EP2520 and EP2420 must be chosen for the degree.


Conditionally elective Appl.code cr. Study period
 1   2   3   4 
EP2420 Network Analytics 50065 7.5 7.5

Recommended Appl.code cr. Study period
 1   2   3   4 
EP2300 Management of Networks and Networked Systems 51243 7.5 7.5
EH2781 IT Management with Enterprise Architecture II, Case Studies 51097 15.0 7.5 7.5
EP2510 Advanced Networked Systems Security 50246 7.5 7.5
EP2790 Security Analysis of Large-Scale Computer Systems 51852 7.5 7.5