Techniques of Integration: basic integration formulas, integration by parts, integration of rational functions by partial fractions. Improper integrals.
Infinite series: convergence and criteria for convergence, power series convergence, Taylor and Maclaurin series.
Learning Outcomes
Knowledge: Having attended and succeeded in the course, the student is able to recognize and describe the basic principles of calculus and how they relate to the field of computer science. Understanding: Having attended and succeeded in the course, the student is able to interpret and apply mathematical concepts such as the forms, characteristics, and behaviors of functions, derivatives, and integrals in real scenarios. Application: Having attended and succeeded in the course, the student is able to use the methods and techniques of calculus to solve optimization problems and calculate area and volume, incorporating the use of tools such as Matlab. Analysis: Having attended and succeeded in the course, the student is able to analyze and judge the mathematical solutions of functions and series, recognizing the suitability of the applied methods for specific problems. Synthesis: Having attended and succeeded in the course, the student is able to synthesize new methods from the basic principles of calculus to develop advanced techniques in computer science applications. Evaluation: Having attended and succeeded in the course, the student is able to evaluate the effectiveness of mathematical models and applications in solving real problems, incorporating critical thinking to improve the accuracy and quality of solutions
Student Performance evaluation
Specific details on grading can be found on the course’ s website
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Code
Computer Science Area
A1
Computer architecture and microelectronics
A2
Computer systems, parallel and high performance computing
A3
Computer security and distributed systems
A4
Computer networks, mobile computing, and telecommunications
B1
Algorithms and systems analysis
B2
Databases, information and knowledge management
B3
Software engineering and programming languages
B4
Artificial Intelligence and machine learning
C1
Signal processing and analysis
C2
Computer vision and robotics
C3
Computer graphics and human-computer interaction
C4
Βioinformatics, medical informatics, and computational neuroscience
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.