🎓 University Work

Welcome! Here you’ll find all the projects and coursework I completed during my university years at Babeș-Bolyai University (BBU) in Cluj-Napoca, along with work from my Erasmus semester at Charles University (CUNI) in Prague. Each relevant computer science course also includes a brief description and the grade I achieved. I hope you find it helpful and interesting!

Note: Grades are on a 10-point scale (10 = highest, 1 = lowest).

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📚 Semesters & Courses Overview

Babeș Bolyai University (BBU)

📝 1st Year, 1st Semester – Avg: 9.4

• 🧮 Algebra – Grade: 9

  - Short Description: Covered the basics of linear algebra and introductory cryptography concepts.
  - Coursework: GitHub
  - Contents:

  • Simple project generating all possible binary echelon matrices.
• 📈 Mathematical Analysis – Grade: 10

  - Short Description: Learned fundamental concepts of differential and integral calculus for functions of one or several real variables, with applications in optimization and data science.
  - Coursework: GitHub
  - Contents:

  • Implemented numerical methods, ML models, and visualizations (p-norms, trapezoidal integration, Ridge Regression).
  • Analyzed quadratic forms with gradient plots for minima, maxima, and saddle points.
• 💽 Computer Systems Architecture – Grade: 8

  - Short Description: Gained an understanding of 80x86 architecture and assembly programming, covering data representation, instructions, and memory management.
  - Coursework: GitHub
  - Contents:

  • Exercised with registers, memory, and low-level operations through simple .asm programs close to hardware.
• 🖥️ Fundamentals of Programming – Grade: 10

  - Short Description: Learned Python programming fundamentals, procedural and object-oriented programming, modular design, testing, and software design principles.
  - Coursework: GitHub
  - Contents:

  • Designed and implemented layered applications using modular architecture, including repositories, services, and UI layers, with support for different storage types.
  • Developed and applied general algorithms for searching, sorting, filtering, and statistics, along with undo/redo functionality using the Command pattern.
  • Built menu-driven console applications with proper exception handling, input validation, and persistent storage for various data models.
• 📊 Computational Logic – Grade: 10

  - Short Description: Studied number systems, logic (propositional & predicate), Boolean algebra, and design/simplification of logic circuits.
  

📜 1st Year, 2nd Semester – Avg: 9.7

• 🔢 Advanced Methods for Solving Mathematical and Algorithmic Problems – Grade: 10

  - Short Description: Studied and implemented fundamental algorithms, data structures, graph algorithms, dynamic programming, and applied mathematical methods in computer science.
  - Coursework: GitHub
  - Contents:

  • Very simple project generating the 17 roots of unity.
• 🗂️ Data Structures and Algorithms – Grade: 9

  - Short Description: Learned and implemented a wide range of data structures and abstract data types (arrays, linked lists, heaps, hash tables, trees, ADTs) while analyzing their complexities, operations, and real-world applications.
  - Coursework: GitHub
  - Contents:

  • Implemented various Abstract Data Types (ADTs) in C++ using given data structures, respecting interfaces, and analyzing algorithm complexities.
• 🌀 Dynamical Systems – Grade: 10

  - Short Description: Studied and practiced differential equations and dynamical systems, including linear and nonlinear equations, stability analysis, phase portraits, and numerical methods (Euler, Runge-Kutta).
  - Coursework: GitHub
  - Contents:

  • Solved various differential equations and dynamical systems problems from the course folder using Maple for computations, visualizations, and analysis.
• 🌐 Graph Algorithms – Grade: 10

  - Short Description: Studied graph theory concepts, algorithms, and applications (connectivity, shortest paths, MSTs, NP-complete problems, flows, matchings).
  - Coursework: GitHub
  - Contents:

  • Solved various graph problems, including graph coloring, shortest/longest path, minimum-cost, and related algorithmic challenges. Mainly in Python.
• 🖱️ Object Oriented Programming – Grade: 10

  - Short Description: Learned and applied C/C++ fundamentals, modular programming, OOP, templates/STL, inheritance, polymorphism, RAII, GUI development with Qt, event-driven programming, and design patterns.
  - Coursework: GitHub
  - Contents:

  • Resolved assignments by creating C/C++ programs, including console apps with menus, Qt GUI applications, and implementations of OOP concepts, design patterns, templates, and STL containers.
• 💻 Operating Systems – Grade: 10

  - Short Description: Grasped operating system concepts, Unix/Windows commands, shell programming with sed, grep, awk, and Bash, processes and threads in C, memory and file management, I/O operations, concurrency, and kernel architectures.
  - Coursework: GitHub
  - Contents:

  • Contains lab work related to processes, file management, grep, sed awk and Bash.
• 📐 Geometry – Grade: 9

  - Short Description: Studied vector algebra, analytic geometry, curves and surfaces, conics and quadrics, and plane/space transformations, including vector, dot, and cross products, projections, symmetries, and homogeneous coordinate transformations.
  

📒 2nd Year, 2nd Semester – Avg: 10

• 🧠 Artificial Intelligence – Grade: 10

  - Short Description: Provided a comprehensive overview of artificial intelligence, covering fundamental concepts, machine learning, neural networks, intelligent systems, search algorithms, evolutionary computation, and advanced AI models.
  - Coursework: GitHub
  - Contents:

  • Contains laboratory work in Jupyter Notebooks (converted to text to use up less space) using Python, covering perceptrons, CNNs, computer vision, evolutionary algorithms, and other machine learning tasks.
• 🛢 Database Management Systems – Grade: 10

  - Short Description: Covers database fundamentals, including concurrency control, recovery, security, query optimization, distributed and parallel databases, and data stream processing
  - Coursework: GitHub
  - Contents:

  • Lab work in SQL Server and Visual Studio for building ADO.NET applications and handling transactions.
  • Submission for the SQL Injection Contest.
• 🌎 Web Programming – Grade: 10

  - Short Description: Introductory course to modern web development, covering WWW fundamentals, HTML, CSS, JavaScript (including libraries and frameworks), XML/JSON, and server-side technologies (PHP, JSP, ASP.NET).
  - Coursework: GitHub
  - Contents:

  • Solved assignments related to CSS, HTML, JavaScript, JSP, ASP, PHP, and Angular.
• ⚙️ Software Engineering – Grade: 10

  - Short Description: Completed a semester-long team project, developing a complex app over multiple iterations following software engineering principles. The project is available in the se-hospital-duo repository.
  
• ⓘ Systems for Design and Implementation – Grade: 10

  - Short Description: Completed a semester-long individual project, developing a complex web app over multiple iterations following software engineering principles. The project is available in the dosq.fm-lite repository.
  

Charles University (CUNI) – Erasmus Semester

📖 2nd Year, 1st Semester – Avg: 10

• 📗 Programming in C# Language – Grade: 10

  - Short Description: In-depth C# course covering managed code, OOP, memory management, generics, delegates/events, and key .NET features.
  - Coursework: GitHub
  - Contents:

  • Contains completed C# assignments, including console apps with complex algorithms and challenges that exercise different parts of the language.
• 🧬 Evolutionary Algorithms – Grade: 10

  - Short Description: Covered evolutionary computation and genetic algorithms, including population models, selection, mutation, crossover, schema theorem, probabilistic analysis, and classifier systems with learning algorithms.
  - Coursework: GitHub
  - Contents:

  • Contains only the first assignment: a Python implementation of a simple genetic algorithm, solving OneMax and alternating 1s/0s problems, with experiments on different mutation and crossover settings.
• ☕ Programming in Java Language – Grade: 10

  - Short Description: Covers Java fundamentals: syntax, classes and inheritance, interfaces, exception handling, memory management, JVM, threads, and standard libraries for files, collections, and networking.
  - Coursework: GitHub
  - Contents:

  • Contains Java applications built mainly with Maven, including a Brainfuck interpreter, exercises on threads, multithreading, ForkJoinPools, and various tasks exploring Java features.
• 🖧 Introduction to Networking – Grade: 10

  - Short Description: Touched networking fundamentals in-depth, OSI/TCP-IP models, addressing and routing, transport and application protocols, network security, media layers (Ethernet/Wi-Fi), and basic web development (HTML/CSS).
  - Coursework: GitHub
  - Contents:

  • Contains my simple static web project, which I completed on the topic of Prague.
• 🔗 Functional Programming – Grade: 10

  - Short Description: Covers Haskell and functional programming: lambda calculus, types, higher-order and recursive functions, data structures, type inference, polymorphism, and monads.
  
• 🗄️ Database Systems – Grade: 10

  - Short Description: Covers data modeling and databases: conceptual and logical models, relational model with SQL, transactions, non-relational databases, unstructured data, file formats, and database architectures.
  
• 🤖 Elements of AI – Grade: 10

  - Short Description: Online course on AI basics, problem solving, machine learning, neural networks, and real-world applications.
  
• ⚖️ Ethics of AI – Grade: 10

  - Short Description: Online course covering AI ethics, including non-maleficence, accountability, transparency, human rights, fairness, and practical applications.
  

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📄 License

This repository is licensed under the MIT License. See the LICENSE file for details.

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💡 Contact

If you have any questions or need assistance, don’t hesitate to get in touch:

• 📧 Email: [email protected]
• 🔗 LinkedIn

I’m always happy to help! 😊