COURSE SYLLABUS Introduction to Programming 7.5 credits Introduktion till programmering First cycle, D0009E Version Autumn 2007 Sp 1 - Spring 2008 Sp 4Autumn 2008 Sp 1 - Spring 2009 Sp 4Autumn 2009 Sp 1 - Spring 2010 Sp 4Autumn 2010 Sp 1 - Spring 2012 Sp 4Autumn 2012 Sp 1 - Spring 2014 Sp 4Autumn 2014 Sp 1 - Spring 2015 Sp 4Autumn 2015 Sp 1 - Autumn 2017 Sp 2Spring 2018 Sp 3 - Spring 2019 Sp 4Autumn 2019 Sp 1 - Autumn 2020 Sp 2Spring 2021 Sp 3 - Spring 2021 Sp 4Autumn 2021 Sp 1 - Spring 2022 Sp 4Autumn 2022 Sp 1 - Present Course syllabus valid: Autumn 2022 Sp 1 - PresentThe version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first. Education level First cycle Grade scale G U 3 4 5 Subject Computer Science Subject group (SCB) Computer Technology Main field of study Engineering Physics and Electrical Engineering, Computer Science and Engineering Entry requirementsIn order to meet the general entry requirements for first cycle studies you must have successfully completed upper secondary education and documented skills in English language + Swedish upper secondary school courses Mathematics 3c or Mathematics D. More information about English language requirements SelectionThe selection is based on final school grades or Swedish Scholastic Aptitude Test.Course Aim The student should: Demonstrate knowledge of proven experience in design and construction of imperative programs and capacity to plan and carry out advanced tasks in the form of implementation of imperative programs designed to solve specific technical problems. Demonstrate the ability to model problems and to identify and formulate solutions in a modern imperative language. Demonstrate the ability to critically analyze and evaluate technical solutions in the form of existing programs in imperative languages , as well as predict and evaluate sequences of events in these. Contents Introduction to program development and development environments. Variables and program states, choice, iteration, recursion. Arithmetic and logic expressions, strings and text processing. Generalisation, parametrisation and function abstraction. Dynamic data structures, the file concept, standard libraries and error handling. References vs. values, the alias problem. Introduction to objects. Problem solving, program structure and documentation.Realization Each course occasion´s language and form is stated and appear on the course page on Luleå University of Technology's website. Instruction consists of lectures, seminars and laboratory work. Lab assignments will be associated with a deadline.Examination If there is a decision on special educational support, in accordance with the Guideline Student's rights and obligations at Luleå University of Technology, an adapted or alternative form of examination can be provided. Written exam and both oral and written presentation of laboratory assignments. Passing the lab assigments part of the course requires a passed grade on all individual assignments.Remarks The course can not be included in a degree together with the course D0028E Programming and Digitalisation, D0017E Introduction to programming for engineeris or the old courses SMD134 Object-Oriented Programming, SMD170 Introduction to programming or SMD180 Introduction to Programming.ExaminerFredrik BengtssonTransition termsThe course D0009E is equal to SMD180Literature. Valid from Spring 2018 Sp 3 Alternative 1 - buy:Titel: Think Python: How to Think Like a Computer ScientistAuthor: Allen B. DowneyPublisher: O'Reilly MediaISBN 9781491939369 Alternative 2 - download:Titel: Think Python: How to Think Like a Computer ScientistAuthor: Allen B. DowneyPublisher: Green Tea PressLink for download: http://greenteapress.com/wp/think-python-2e/ Search books in the library » Course offered byDepartment of Computer Science, Electrical and Space EngineeringModules CodeDescriptionGrade scaleCrStatusFrom periodTitle 0002Laboratory workU G#3.00MandatoryA07 0003Written examG U 3 4 54.50MandatoryA21 Study guidanceStudy guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.Syllabus establishedby the Department of Computer Science and Electrical Engineering 28 Feb 2007Last revisedby Jonny Johansson, HUL SRT 19 Feb 2021