Introduction to Programming (MAY343)

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General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Undergraduate
Course Code	MAY343
Semester	3
Course Title	Introduction to Programming
Independent Teaching Activities	Lectures, laboratory exercises, tutorials, quiz (Weekly Teaching Hours: 5, Credits: 7.5)
Course Type	General Background
Prerequisite Courses	-
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes

This course aims at analyzing and solving problems using the computer as well as at introducing a high-level programming language (which in this case is C++ and Python). After successfully passing this course, the students will be able to: Write simple or complex programs. Verify the correctness and appropriateness of a given program. Debug programs. Understand basic programming concepts, structures and techniques. Use arrays, strings, and functions. Understand elementary notions of object-oriented programming. Conduct simple and complex arithmetic computations via programming. Use control flow constructs, conditions, decision structures and loops. Structure their programs with the help of iterative and recursive functions. Program basic operations on data, such as searching and sorting.

General Competences

Search for, analysis and synthesis of data and information, with the use of the necessary technology Working independently Team work Project planning and management.

Syllabus

• Introduction to programming
• Preprocessing, numerical, boolean and logical operators
• Flow control: if/else, switch, for, while, do-while
• Structuring, locality of parameters, pass by value/reference, variable scope, recursive functions, program stack.
• Arrays, strings, objects
• Input/Output
• Functions, variables’ scope and recursion
• Searching and sorting data
• Elementary data structures.

Teaching and Learning Methods - Evaluation

Delivery	Lectures, labs session
Use of Information and Communications Technology	Use of projector and interactive board during lectures. Use of computer for demonstation of programming. Use of computers in laboratories for development and testing of programs. Course website maintenance. Announcements and posting of teaching material (lecture slides and notes, programs). Announcement of assessment marks via the ecourse platform by UOI.
Teaching Methods	Activity Semester Workload Lectures (13X5) 65 Laboratory practice 100 Tutorials 22.5 Course total 187.5
Student Performance Evaluation	Final written examination (80%) Multiple choice questions Develop programs Laboratory exercises (20%) Multiple choice questions Develop programs

Attached Bibliography

See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:

• L. Jesse, Πλήρες εγχειρίδιο της C++, Εκδόσεις Α. Γκιούρδα, 2006. Κωδικός Ευδ: 12374.
• Βιβλίο [50656350]: Υπολογισμοί και Προγραμματισμός με την Python, John V. Guttag, Κλειδάριθμος, 2015.
• Βιβλίο [59357236]: Εισαγωγή στον Προγραμματισμό με την Python, Schneider David
• Βιβλίο [77119000]: Προγραμματισμός με την Python, Στράτος Καλαφατούδης, Γεώργιος Σταμούλης
• Βιβλίο [320152]: Εισαγωγή στον Προγραμματισμό με αρωγό τη γλώσσα Python [Ηλεκτρονικό Βιβλίο], Γεώργιος Μανής
• Βιβλίο [174838]: Python Scripting for Computational Science [electronic resource], Hans Petter Langtangen
• Βιβλίο [170352]: Beginning Python [electronic resource], Magnus Lie Hetland
• [Περιοδικό / Journal] Science of Computer Programming, ELSEVIER.
• [Περιοδικό / Journal] ACM Transactions on Programming Languages and Systems (TOPLAS)