Novosibirsk State University

Faculty of Information Technologies

1st year bachelor:

• Digital Design (Verilog HDL)
• The C Programming Language and Basic Algorithms

2nd year bachelor:

• Computer Architecture and Peripheral devices:
  
  • x86/x86-64 assembly language (laboratory work №3)
  • ARM assembly language (laboratory work №4)
  • OpenCV (laboratory work №5)
  • LibUSB (laboratory work №6)
  • SIMD/BLAS (laboratory work №7)
• OpenMP and MPI programming

3rd year bachelor:

• Architecture of modern microprocessors and multiprocessors:
  
  • ARM vs x86 reorder buffer size (laboratory work №2)
  • Performance Application Programming Interface (PAPI) (laboratory work №3)
• Coding theory:
  
  • MTF-algorithm (C++)
• Data bases:
  
  • MS Access
  • Oracle SQL
  • Oracle PL/SQL (theater_info_system project)
• Effective programming of modern microprocessors and multiprocessors:
  
  • Intel VTune Profiler (all laboratory works)
  • Intel Advisor (all laboratory works)
  • AVX instructions (laboratory work №2, 3, 4)
  • OpenMP (laboratory work №4)
• Network programming:
  
  • POSIX TCP/IP, UDP Stack (all laboratory works, C/C++)
  • C-ares (laboratory works 5, SIMPLE SOCKS5 PROXY SERVER(more info in README.md of the project))
  • Protobuf, XML (laboratory works 4, Distributed Snake Game(more info in README.md of the project))

4th year bachelor:

• Information security:
  
  • RC4, AES and AES-based hash function (laboratory work №3)
  • LSB injection to WAV audio (laboratory work №4)
• Introduction to the organization of distributed calculations:
  
  • Multithreaded mutual exception in distributed systems (laboratory work №2)
  • Simple multithreaded HTTP server (laboratory work №4)
  • Distributed Files Storage (laboratory work №5)

1st year master:

• Distributed systems.
  
• Modern programming approaches.
  
  • Basic operations with data structures (laboratory work №1)
  • Numerical integration (laboratory work №2)
  • Parallel sequences processing (laboratory work №3)
  • DNF (laboratory work №4)

2nd year master:

• Neural Networks and Machine Learning.
  
  • KNN (laboratory work №1, 2)
  • Polynomial regression (laboratory work №3, 4)
  • Elementary perceptron (laboratory work №5)
  • Multilayer perceptron (laboratory work №5, 6)