Checking date: 24/09/2020


Course: 2020/2021

Programming
(15491)
Study: Bachelor in Industrial Technologies Engineering (256)


Coordinating teacher: SESMERO LORENTE, MARIA PAZ

Department assigned to the subject: Department of Computer Science and Engineering

Type: Basic Core
ECTS Credits: 6.0 ECTS

Course:
Semester:

Branch of knowledge: Engineering and Architecture



Students are expected to have completed
There are no pre-requisites for this course
Competences and skills that will be acquired and learning results. Further information on this link
Generic competences and skills 1.Analysis and synthesis skills 2. Organization an planning skills 3. Ability to apply academic knowledge to practice 4. Basic computer skills 5. Ability to proactively solve problems with critical thinking 6. Basic teamwork skills Specific skills Cognitive 1. To understand the role of Computing Science and Programming in the context of Industrial Engineering 2. To explain the fundamentals of computer hardware and computer architecture and to identify the basic computer components involved in the execution of statements and programs 3. To describe the concepts of algorithm, program, statement and programming language 4. To explain the fundamentals of computer software: operating systems, types of programs, compilers 5. To understand the concepts of variable, constant, operator and expression, as well as the different operators available in the C programming language 6. To know the basic algorithmic structures: sequential, alternative, iterative 7. To understand the concept of function and the use of parameters 8. To understand the principles of modular and structured programming, as well as the concepts of data and function abstraction 9. To understand the concept of structured data type and use arrays, structures and strings 10. To know the basic search and sort algorithms 11. To know the syntax of the C programming language 12. To know the main programs used to solve Engineering problems Procedural 1. To solve Engineering problems of medium complexity by designing algorithms and developing computer programs in the C language 2. To select the most appropriate data structures to solve a problem 3. To use an integrated development environment to write, compile and debug programs 4. To use functions of the C standard library
Description of contents: programme
Topic 1. Introduction to Computer Science and Programming. 1.1. Computers and Computer Science. Brief history of computers 1.2. Information representation with computers 1.3. Algorithms and programs. Tools for algorithm design 1.4. Computer Science in the context of Industrial Engineering Topic 2. Software and Hardware 2.1.Logic support: Software. 2.1.1. Programming languages. 2.1.2. Translators, compilers and interpreters. 2.1.3. Operating systems. 2.2. Physical support: Hardware. 2.2.1. Computer architecture. Components. 2.2.2. Program execution. 2.2.3. Peripherals. 2.2.4. Computer networks and the Internet Topic 3. Introduction to Programming in C 3.1. Basic structure of a program 3.2. Variables and constants 3.3. Simple data types 3.4. Expressions and instructions 3.5. Operators: arithmetic, relational, logical and assignment operators 3.7. Basic input and output: printf and scanf Topic 4. Control Flow 4.1. Conditional control flow structures: 4.1.1. if-else 4.1.2. switch 4.2.Iterative control flow structures (loops): 4.2.1. for 4.2.2. while 4.2.3. do-while 4.3.Control structure nesting Topic 5. Functions 5.1. Modular programming 5.2. Function declaration and definition 5.3. Function calling 5.4. Parameters: pass by value and by reference 5.5. Scope of variables and visibility 5.6. Library functions and standard C libraries Topic 6. Structured Data Types 6.1. Introduction: structured vs. simple data types 6.2. Arrays. 6.2.1. Arrays: definition and use 6.2.2. Arrays as function parameters 6.2.3. Character strings 6.3. Structures 6.3.1. Structures: definition and use 6.3.2. Arrays of structures 6.3.2. Structures as function parameters Topic 7. Search, Sort and Merge Algorithms 7.1. Search algorithms 7.2. Sort algorithms 7.3. Merge algorithms Topic 8. Advanced topics 8.1. External data storage: files and databases 8.2. Dynamic memory management 8.3. Programs used in Engineering
Learning activities and methodology
Lectures (on-line) Lectures will be developed in joint student groups (on-line). Professors will explain the contents of the course to support the students to acquire the related cognitive skills. Exercise sessions Exercise lectures will be developed in small groups. Professors and students will solve problems to acquire the procedural skills of the course. Computer lab sessions (on-line) Computer labs will be developed (on-line). Students will implement and test problem solutions on a computer. Individual tutorships Students can request for individual sessions with the professors to ask specific questions about the course contents and exercises. Individual work Students will study the contents of the course presented in the lectures and solve the exercises proposed in exercise and computer lab sessions. They will receive feedback from the professors to detect and correct their errors.¿
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Basic Bibliography
  • Brian W. Kernighan, Dennis M. Ritchie. C Programming Language. Prentice Hall. 1988 (2nd Edition)
  • K. N. King. . C Programming: A Modern Approach. . W.W. Norton & Company, . 2008 (2nd Edition)
  • Paul J. Deitel, Harvey M. Deitel. . C: How to Program. . Prentice Hall, (6th Edition). 2009

The course syllabus and the academic weekly planning may change due academic events or other reasons.