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 Chemical and Environmental Engineering Course Level Undergraduate Direction - Course ID MATH 105 Semester 1st Course Category Required Course Modules Instruction Hours per Week ECTS Lectures and Laboratory exercises 5 Th=3, E=0, L=2 5 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: a. Data input/output commands b. Usage of variables c, Arithmetic operations d. Loops e. Conditional statements; arrays f. Data files g. Subroutines and functions.  Exercises. Laboratories:  Laboratory practice in using computational programs in Unix environment. Programming using Fortran.

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 lectures - Tutorials 8 - Lab exercises 20 - Autonomous study 58 Course Total 125 Assessment Method I. One final exam including application development and questions on critical thinking (70%). II. Two computer lab tests in Fortran coding (30%).