- •PART 1. SYLLABUS
- •Delivery schedule
- •Academic policies
- •PART 2. THEORETICAL BASICS.
- •Lecture 1 Introduction to Computer Science
- •Lecture 2 Boolean Logic
- •Lecture 3 Data Structures
- •Lecture 4 Computer Memory, Processing, and Storage
- •Lecture 5 Linux File System
- •Lecture 6 Computer Network
- •PART 3. LABORATORY WORKS.
- •Laboratory work 1
- •Laboratory work 2
- •Laboratory work 3
- •Laboratory work 4
- •Laboratory work 5
- •Laboratory work 6
- •Laboratory work 7
- •Laboratory work 8
- •Laboratory work 9
- •Laboratory work 10
- •PART 4. EXAMINATION
- •Test by discipline
- •Questions for credit by discipline
- •RECOMMENDED LITERATURE
RECOMMENDED LITERATURE
1 Algorithms Unlocked. MIT Press, 2015.
2 Thomas H. Cormen, Introduction to Algorithms. MIT Press, 2009.
3 X. Yang et al. Quicksilver: Fast predictive image registration–a deep learning approach. NeuroImage, 158:378–396, 2017.
4 Harold Abelson, Gerald Jay Sussman, Julie Sussman, Structure and Interpretation of Computer Programs 2nd Edition, 1996.
5 Brian Christian, Tom Griffiths, Algorithms to Live By The Computer Science of Human Decisions, 2016.
6 Roselyn Teukolsky M.S., Barron's AP Computer Science A, 8th Edition with Bonus Online Tests, 2018.
7 Erol Gelenbe, Paolo Campegiani, Tadeusz Czachórski, Sokratis K. Katsikas, First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, London, UK, February 26-27, Security in Computer and Information Sciences, 2018.
8 Mr. Kevin P Hare, Computer Science Principles. The Foundational Concepts of Computer Science - For AP® Computer Science Principles, 2018.
9 Jeff Erickson, Algorithms, 2019.
10 Roselyn Teukolsky M.S., AP Computer Science A With 6 Practice Tests, 2019. 11 Robert Sedgewick, Kevin Wayne, Computer Science An Interdisciplinary Approach, 2016.
12 Nell Dale, John Lewis, Computer Science Illuminated, 2019.
13 Daniel Drescher, Blockchain Basics A Non-Technical Introduction in 25 Steps, 2017.
14 Steven S. Skiena, The Data Science Design Manual, 2018.
15 Sjaak Laan, IT Infrastructure Architecture Infrastructure Building Blocks and Concepts Third Edition, 2017.
16 Wladston Ferreira Filho, Raimondo Pictet, Computer Science Distilled. Learn the Art of Solving Computational Problems, 2017.
17 Geoff Mulgan, Big Mind. How Collective Intelligence Can Change Our World, 2017.
18 Chris Bernhardt, Turing's Vision. The Birth of Computer Science, 2017.
19 Simson L Garfinkel, Rachel H. Grunspan, The Computer Book. From the Abacus to Artificial Intelligence, 250 Milestones in the History of Computer Science, 2018. 20 Max Bramer, Principles of Data Mining, 2016.
21 Ernest Dainow, Understanding Computers, Smartphones and the Internet, 2018. 22 Bradley Efron, Trevor Hastie, Computer Age Statistical Inference. Algorithms, Evidence, and Data Science, 2016.
23 David Watson, Helen Williams, Computer Science Workbook, 2016.
24 Shane Torbert, Applied Computer Science, 2016.
25 Michio Shibuya, Takashi Tonagi, Office Sawa, The Manga Guide to Microprocessors, 2017.
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