Bachelor Programs

Fundamental Courses (Engineering Sciences)

• Courses which are fundamental for the general instruction of an engineer
• Examples:
  • Calculus
  • Computer Programming
  • Electrical Engineering
  • Logic and Discrete Structures
  • Algebra and Geometry
  • Computer Graphics
  • Physics
  • Computer Assisted Mathematics
  • Programming Techniques
  • Probabilities ans Statistics

Domain Courses (Computer and TI)

• Courses which define the field of Computer and Information Technology
• Examples:
  • Digital Logic
  • Data Structures and Algorithms
  • Computer Networks
  • Object-Oriented Programming
  • Computer Architecture
  • Digital Circuits and Signals
  • Data Acquisition and Processing
  • Algorithm Design and Analysis
  • Software Engineering Fundamentals
  • Databases
  • Operating Systems
  • Digital Computers
  • Artificial Intelligence Fundamentals
  • Digital Micro-system Design
  • Image Processing and Recognition

Specialty Courses and Electives

• Courses which develop specialty competences
• These courses are specific to each particular study program
• With the help of the specialty elective courses, each student can define and follow a personal educational track
• Students of a particular study program can also choose a set of specialty courses from the other study programs in the Computer and IT area
• The lists with examples of specialty courses can be found at the description section of each study program, below

Complementary Courses

• Courses which develop transversal competences of the students
• Examples:
  • Foreign Languages
  • Sports
  • Communication
  • Management and marketing

• Presentation flier

• Software Systems Design
• Microprocessor Systems
• Distributed Programming
• Computer Engineering
• Data Mining
• Design and Architecture of Complex Software Systems
• Mobile Systems and Applications
• Computer Aided Design
• Digital Telecommunications
• Compilation Techniques
• Web Application Design
• Software Project Management
• Computer Systems Reliability
• Expert Systems
• Multimedia Systems
• Concurrent and Event-Based Programming

• Webpage with the current curricula and course syllabuses

• Webpage with the current curricula and course syllabuses

Presentation of the study program

• Hi-res poster (pdf, RO language) ^[1]
   
• This program produces highly qualified engineers in the field of computer and information technology.
   
• Knowledge and abilities acquired: ^[2]
  • knowledge of current approaches in IT, and abilities to select, develop, apply, integrate, and administer secure computing technologies to enable users to accomplish their personal, organizational, and societal goals;
  • abilities of communication, interdisciplinary cooperation, and team project management.
     
• Educational outcomes, which define the IT graduate profile: ^[2]
  • analyze complex, real-world problems to identify and define computing requirements and apply computational approaches to the problem-solving process;
  • design, implement, and evaluate computing and network-based solutions to meet given sets of computing requirements in the context of the IT discipline;
  • make informed judgments and include unique perspectives of others in computing practice based on legal and ethical principles;
  • identify and analyze user needs and consider them during the selection, integration, and administration of computer-based systems.
     
• Why follow this program at UPT:
  • specialty of high demand at national and international level;
  • easy access to cutting-edge jobs with high payment and rewards, after graduation;
  • up-to-date and flexible curriculum - you can choose your own path within the general IT area;
  • use of high-level infrastructure, well equipped laboratories and latest technologies;
  • gain access to top-level master programs after graduation;
  • experience student live to the max with the university facilities, in a cosmopolite city.

• Database Administration
• Design and Development of Web Applications
• .NET Programming
• Operating Systems Administration
• Computer Systems Security
• Network Administration
• Embedded Systems
• Data Analysis and Visualization
• High-Performance Computing (HPC)
• Man-Machine Interfaces
• Database Design
• Design and Analysis of Mobile Applications
• Sensors and Sensor Networks
• IT Infrastructure Management
• IoT and Cloud Architectures
• Big Data Analysis