The following courses are part of study year two.
The course application codes and study periods are valid for the academic year 2020/2021. For other academic years, different application codes and study periods may apply
General Courses
Students from CTFYS or CINTE, KTH, who miss the equivalent courses in previous degree are also required to take:
- DD2350 Algorithms, Data Structures and Complexity 9,5 credits or DD2352 Algorithms and Complexity 7.5 cr.
- SF1662 Discrete Mathematics 7,5 cr, SF1610 Discrete Mathematics, 7,5 cr. or SF1679 Discrete Mathematics 7.5 cr.
The course ID2200 Operating system 6 hp is compulsory for students from CDATE, who started 2011 or earlier.
The course DM2573 Sustainability and Media Technology 7.5 credits is compulsory for studenter from CMETE.
The course IK2218 Protocols and Principles of the Internet. should be replaced by an elective course, of at least 6 cr. for students from CINTE.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2300 Program Integrating Course in Computer ScienceOne credit each academic year | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Specialisations
Track, Cognitive Systems (CSCS)
Courses (CSCS)
Prerequisits: SF1626 Mulitvariate Calculus, 7,5 credits (or equivalent).
The student should choose one of the subtrack with following mandatory courses:
- Vision and Robotics:
DD2410, DD2423, DD2424. - Conversational system:
Conditionally elective courses: DT2112 och DT2119 (one must be chosen), and
choose at least 7,5 credits from: DD2424, DD2437, DT2140, DD2418,
in addition, read: DT2151 (replaces DT2150 from Autumn20).
Subject to changes.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2410 Introduction to RoboticsCompulsory for the subtrack Vision and robotics | 7.5 credits | 7.5 | ||||
| DD2437 Artificial Neural Networks and Deep ArchitecturesConditionally elective for the subtrack Conversational systems | 7.5 credits | 7.5 | ||||
| DD2423 Image Analysis and Computer VisionCompulsory for the subtrack Vision and robotics | 7.5 credits | 7.5 | ||||
| DT2140 Multimodal Interaction and InterfacesConditionally elective for the subtrack Conversational systems | 7.5 credits | 7.5 | ||||
| DT2151 Project in Conversational SystemsCompulsory for the subtrack Conversational systems | 7.5 credits | 7.5 |
Recommended courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| SF2940 Probability Theory | 7.5 credits | 7.5 | ||||
| DD2434 Machine Learning, Advanced Course | 7.5 credits | 7.5 | ||||
| DD2447 Statistical Methods in Applied Computer Science | 6.0 credits | 6.0 | ||||
| EL2320 Applied Estimation | 7.5 credits | 7.5 | ||||
| DD2438 Artificial Intelligence and Multi Agent Systems | 15.0 credits | 7.0 | 8.0 | |||
| DD2476 Search Engines and Information Retrieval Systems | 9.0 credits | 6.0 | 3.0 | |||
| DD2418 Language Engineering | 6.0 credits | 6.0 | ||||
| SF1861 Optimization | 6.0 credits | 6.0 | ||||
| DT2410 Audio Technology | 7.5 credits |
Track, Data Science (CSDA)
Courses (CSDA)
Prerequisits: SF1626 Multivariate Calculus, 7,5 credits (or equivalent).
One of the subtracks must be chosen:
1. Machine Learning:
- Mandatory course: DD2424.
- Conditionally elective courses (one of the courses must be chosen): DD2434, DD2437, DD2420.
2. Natural Language Processing:
Mandatory courses: DD2476 and DD2418.
3. Bioinformatics:
Mandatory course: SF2940.
Subject to changes.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2430 Project Course in Data Science | 7.5 credits | 3.5 | 4.0 | |||
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2437 Artificial Neural Networks and Deep ArchitecturesConditionally elective for the subtrack Machine learning | 7.5 credits | 7.5 | ||||
| SF2940 Probability TheoryCompulsory for the subtrack Bioinformatics | 7.5 credits | 7.5 | ||||
| DD2434 Machine Learning, Advanced CourseConditionally elective for the subtrack Machine learning | 7.5 credits | 7.5 |
Recommended courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2257 Visualization | 7.5 credits | 7.5 | ||||
| DD2423 Image Analysis and Computer Vision | 7.5 credits | 7.5 | ||||
| DD2447 Statistical Methods in Applied Computer Science | 6.0 credits | 6.0 | ||||
| EL2320 Applied Estimation | 7.5 credits | 7.5 | ||||
| SF1811 Optimization | 6.0 credits | 6.0 | ||||
| DD2419 Project Course in Robotics and Autonomous Systems | 9.0 credits | 4.5 | 4.5 |
Track, Interaction Design (CSID)
Courses (CSID)
At least 15 credits from the conditionally elective courses must be taken during study year 1-2.
Subject to changes.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DH2413 Advanced Graphics and Interaction | 9.0 credits | 3.0 | 6.0 | |||
| DM2630 User Experience Design and Evaluation | 9.0 credits | 4.5 | 4.5 | |||
| DH2408 Evaluation Methods in Human-Computer Interaction | 6.0 credits | 6.0 | ||||
| DT2140 Multimodal Interaction and Interfaces | 7.5 credits | 7.5 |
Track, Scientific Computing (CSSC)
Courses (CSSC)
Prerequisits: SF1626 Multivariate Calculus, 7,5 credits.
Conditionally elective courses (one must be taken): DD2437, DD2257, DD2365.
Subject to changes.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DD2444 Project Course in Scientific Computing | 7.5 credits | 7.5 | ||||
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2257 Visualization | 7.5 credits | 7.5 | ||||
| DD2437 Artificial Neural Networks and Deep Architectures | 7.5 credits | 7.5 |
Recommended courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| EL2820 Modelling of Dynamical Systems | 7.5 credits | 7.5 | ||||
| SF2561 The Finite Element Method | 7.5 credits | 7.5 | ||||
| DD2435 Mathematical Modelling of Biological Systems | 9.0 credits | 6.0 | 3.0 | |||
| SF2565 Program Construction in C++ for Scientific Computing | 7.5 credits | 3.5 | 4.0 | |||
| BB2280 Molecular Modeling | 7.5 credits | 7.5 | ||||
| DD2360 Applied GPU Programming | 7.5 credits | 7.5 | ||||
| DD2421 Machine Learning | 7.5 credits | 7.5 | ||||
| DD2402 Advanced Individual Course in Computational Biology | 6.0 credits | 3.0 | 3.0 |
Track, Security and Privacy (CSSP)
Courses (CSSP)
Mandatory course:
DD2520 Applied Crypotography, 7,5 hp.
Conditionally elective courses:
- at least two must be taken of following: DD2448, DD2525, DD2496, DD2443, and also
- at least one must be taken of following: DD2497, EP2510.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2443 Parallel and Distributed Computing | 7.5 credits | 7.5 | ||||
| DD2496 Privacy Enhancing Technologies | 7.5 credits | 7.5 | ||||
| DD2497 Project course in System Security | 7.5 credits | 7.5 | ||||
| EP2510 Advanced Networked Systems Security | 7.5 credits | 7.5 |
Recommended courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| EN2720 Ethical Hacking | 7.5 credits | 7.5 | ||||
| EP2790 Security Analysis of Large-Scale Computer Systems | 7.5 credits | 7.5 |
Track, Software Technology (CSST)
Courses (CSST)
One of the two subtracks must be taken:
1. Programming Languages
- Mandatory courses: DD2481 and DD2488.
- Condtionally elective courses (one of the courses must be taken): DD2372, DD2457.
2. Software Engineering
- Conditionally elective courses (at least two must be taken): DD2443, DD2459, DD2460, DD2481, DD2482.
- Conditionally elective courses (at least one must be taken): DD2487, DD2497.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2443 Parallel and Distributed ComputingConditionally elective for the subtrack Software Engineering | 7.5 credits | 7.5 | ||||
| DD2488 Compiler ConstructionCompulsory for the subtrack Programming languages | 9.0 credits | 4.5 | 4.5 | |||
| DD2487 Large-Scale Software DevelopmentConditionally elective for the subtrack Software Engineering | 7.5 credits | 7.5 | ||||
| DD2497 Project course in System SecurityConditionally elective for the subtrack Software Engineering | 7.5 credits | 7.5 | ||||
| DD2457 Program Semantics and AnalysisConditionally elective for the subtrack Software Engineering | 6.0 credits | 6.0 |
Recommended courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2458 Problem Solving and Programming under Pressure | 9.0 credits | 4.5 | 4.5 | |||
| DD2421 Machine Learning | 7.5 credits | 7.5 | ||||
| ID1217 Concurrent Programming | 7.5 credits | 7.5 | ||||
| DD2476 Search Engines and Information Retrieval Systems | 9.0 credits | 6.0 | 3.0 |
Track, Theoretical Computer Science (CSTC)
Courses (CSTC)
Mandatory courses for all:
- DD2467 Individual Project in Theoretical Computer Science, 7,5 credits,
- SF2xxx, any course in Mathematics, second cycle, 7,5 credits.
One of the subtracks must be taken:
1. Algorithms, Complexity and Cryptography:
- Mandatory course: DD2448.
- Conditionally elective courses (at least one of the courses must be taken): DD2445, DD2442.
2. Formal Methods and Semantics:
- Mandatory course: DD2452.
- Conditionally elective courses (at least 7,5 credits must be taken): DD2459, DD2448, DD2457, DD2460, DD2372, DD2443, DD2442.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2467 Individual Project in Theoretical Computer Science | 7.5 credits | 4.0 | 3.5 | |||
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2442 Seminars on Theoretical Computer ScienceConditionally elective for the subtrack Algorithms, Complexity and Cryptography; Conditionally elective for the subtrack Formal Methods and Semantics | 7.5 credits | 7.5 | ||||
| DD2443 Parallel and Distributed ComputingConditionally elective for the subtrack Formal Methods and Semantics | 7.5 credits | 7.5 | ||||
| DD2452 Formal MethodsCompulsory for the subtrack Formal Methods and Semantics | 7.5 credits | 7.5 | ||||
| DD2457 Program Semantics and AnalysisConditionally elective for the subtrack Formal Methods and Semantics | 6.0 credits | 6.0 |
Recommended courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2458 Problem Solving and Programming under Pressure | 9.0 credits | 4.5 | 4.5 | |||
| DD2447 Statistical Methods in Applied Computer Science | 6.0 credits | 6.0 | ||||
| ID1217 Concurrent Programming | 7.5 credits | 7.5 |
Track, Visualization and Interactive Graphics (CSVG)
Courses (CSVG)
At least 18 credits must be taken from the conditionally elective courses.
Mandatory courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2300 Program Integrating Course in Computer Science | 2.0 credits | 0.2 | 0.3 | 0.2 | 0.3 | |
| DD2470 Advanced Topics in Visualization and Computer Graphics | 6.0 credits | 6.0 | ||||
| DA231X Degree Project in Computer Science and Engineering, Second Cycle | 30.0 credits | 15.0 | 15.0 |
Conditionally elective courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DD2257 Visualization | 7.5 credits | 7.5 | ||||
| DH2413 Advanced Graphics and Interaction | 9.0 credits | 3.0 | 6.0 | |||
| DH2650 Computer Game Design | 6.0 credits | 6.0 | ||||
| DH2321 Information Visualization | 6.0 credits | 6.0 | ||||
| DH2323 Computer Graphics and Interaction | 6.0 credits | 6.0 |
Recommended courses
| Course code and name | Appl.code | Scope | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|---|
| DM2350 Human Perception for Information Technology | 7.5 credits | 7.5 | ||||
| DD2423 Image Analysis and Computer Vision | 7.5 credits | 7.5 | ||||
| DD2356 Methods in High Performance Computing | 7.5 credits | 7.5 | ||||
| DD2424 Deep Learning in Data Science | 7.5 credits | 7.5 |