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School of Chemical and Environmental Engineering

Now offering two distinct diplomas: Chemical Engineering and Environmental Engineering

Introduction to Computer Programming I

1. COURSE INFORMATION:

School Environmental Engineering
Course Level Undergraduate
Course ID MATH 105 Semester 1st
Course Category Required
Course Modules Instruction Hours per Week ECTS
Lectures and Laboratory assignments 5
Th=3, E=0, L=2
4
Course Type  General Background
Prerequisites  
Instruction/Exam Language Greek
The course is offered to Erasmus students No
Course URL https//www.eclass.tuc.gr/courses/MHPER307/  (in Greek)

 

2. LEARNING OUTCOMES

Learning Outcomes

The course aims to introduce the basic methodologies of application development and computer programming for use in many other core curriculum subjects. The course introduces fundamental algorithm development methods and their implementation into computational environments.

This basic course aims at introducing students to the basic concepts of constructing and implementing algorithms of numerical methods for solving science and engineering problems. The course starts with an emphasis on understanding the context of problem solving, selecting suitable techniques and numerical methods, and constructing a suitable algorithm. Algorithms are implemented in a modern Fortran computing environment.

After successfully completing the course, a student will be able to:

  • Understand the context of problem solving in programming.
  • Understand basic algorithm development processes.
  • Develop applications using the problem-solving algorithms.
  • Implement algorithms using basic and complex Fortran commands.
  • Analyze and control the implementation of the algorithm.
  • Understand a Fortran code and expand on it.
General Competencies/Skills
  • Critical understanding of concepts/theories and problem-solving skills
  • Promoting free, creative and inductive thinking
  • Fluency in algorithms and computer application development
  • Advance free, creative and causative thinking
  • Ability to work independently

3. COURSE SYLLABUS

Theory: Introduction to algorithms. Structured Programming. Development of correct and efficient algorithms. Main features of modern programming languages. Programming using Fortran language: Data input/output commands, use of data variables, arithmetic operations, iterations, control structures, vectors and matrices, use of data files, subroutines and functions. Assignments.

Laboratories: Hands-on training on Fortran programming in a Unix environment.

4. INSTRUCTION and LEARNING METHODS - ASSESSMENT

Lecture Method Lectures and laboratory
Use of Information and Communication Technology Specialized software,Power point presentations,E-class support
Instruction Organisation Activity Workload per Semester
(hours)
- Lectures 39
- Lab assignments 20
- Autonomous study 33
- Tutorials 8
Course Total 100

Assessment Method

I. One final exam including application development and questions on critical thinking (70%).

II. Two computer lab tests in Fortran coding (30%).

5. RECOMMENDED READING

6. INSTRUCTORS

Course Instructor: Associate Professor Apostolos Voulgarakis (Faculty - EnvEng)
Lectures: Associate Professor Apostolos Voulgarakis (Faculty - EnvEng)
Tutorial exercises:  
Laboratory Exercises: