🔗 Procedural and Object-Oriented Programming
Basic and practice-oriented programming in C++. The course covers most of the elements in the programming language and selected parts of the standard library. Through the exercises, the students will get extensive experience in the construction, debugging and testing of software.

🔗 Control systems
Linear differential equations. State space representation. Transition matrix, decoupling, canonical forms. Linear approximations of nonlinear processes; linearisation. Block diagrams. Laplace transformation. Root loci. Responses for some typical processes--time- and frequency response. Stability of feedback systems, stability criteria. Frequency domain based synthesis of feedback systems: Servo control, process control with rejection of disturbances. P, PI, PID controllers, other serial controllers. Cascade control. Feedforward control. Discrete (digital) control of continuous systems, and basics of analog filters.

🔗 Computer fundamentals
The course will contain terminology, principles, and concepts for the construction and operation of different kinds of modern computers and other computer-related equipment. Principles of how computers (and other digital machines) are constructed from combinatoric and sequential logic logic blocks. Architecture (organization), operation, and realization of computers and computer systems. Construction of computers on different levels, instruction format, address modes, processor architecture and types. Hardware and software interface, connection of components, interrupts, busses, memory hierarchy, and cache. A short introduction to distributed systems, embedded systems, parallel computers, new technologies, and new applications will be given.

🔗 Physics
Main topics: Dynamics. Thermal physics.

🔗 Data Science Competitions on Kaggle
Collection of introductory ML competitions involving regression, classification, and more.

🔗 Problem-solving in C++/C
Introductory DSA problems solved weekly