Guías Docentes Electrónicas
1. General information
ECTS credits:
Academic year:
20  21  22  23 
First quarter
Main language:
Second language:
Use of additional languages:
Use of English as the main language in the bilingual group and Spanish in the other groups.
English Friendly:
Web site:
Lecturer: ESTER DEL CASTILLO HERRERA - Group(s): 21  22  23 
Phone number
Office hours
Fermín Caballero/3.15
Available at

Lecturer: MANUEL ORTEGA CANTERO - Group(s): 21  23 
Phone number
Office hours
Fermín Caballero/A1.1
Available at

Lecturer: JESUS SERRANO GUERRERO - Group(s): 20 
Phone number
Office hours
Fermín Caballero/2.05
Available at

2. Pre-Requisites

Since this is a subject of the first semester of the first year of the degree in Computer Engineering, and will also be new for most students, it does not seem logical that prior requirements should be established.

In spite of this, and with the main objective of guaranteeing the comprehension of the contents and the acquisition of skills of this subject, it is advisable for the student to take advantage of certain personal skills and abilities that he acquired during his primary and secondary studies. Among them we will highlight the critical reading of the texts in the bibliography, the use of electronic material for this subject available on the Moodle platform and the active search for complementary material on the network.
It is also very important that the student has personal initiative and perseverance in the daily work of the subject.

3. Justification in the curriculum, relation to other subjects and to the profession

The subject Programming Foundations I, like the other subjects in the academic plan, is not an isolated subject but is a part of it with a close relationship to the rest of the subjects.
Within this whole, the subject has been included within the subject PROGRAMMING together with the subjects Programming Fundamentals II, Data Structure, Programming Methodology and Concurrent and Real Time Programming.
As it is the first subject of this module, the subject Programming Fundamentals I will be one of the fundamental pillars, since the basic concepts of programming that the rest of the subjects of the module will use later will be studied.

In addition, the knowledge and skills acquired with this subject will be important for the proper development of subjects from other subjects such as, for example, those related to Software Engineering.

If we go a beyond the university context and think about the future incorporation of our students into the labour market, even if a graduate in computer science is not called to be a mere programmer but to be responsible for large projects, this subject, together with the rest of the subjects, will provide the necessary skills and abilities to be able to plan the project well and subsequently evaluate the different alternatives proposed.

4. Degree competences achieved in this course
Course competences
Code Description
BA04 Basic knowledge about the uses and programming of computers, operating systems, data bases, and digital programmes with applications in engineering.
BA05 Knowledge about the structure, organization, functioning, and inter connexions of digital programmes, with their application in engineering problems.
CO07 Knowledge, design, and efficient use of types of data and structures which arise as most appropriate in problem solving.
CO08 Ability to analyse, design, build and maintain applications in a strong, safe, and efficient manner by selecting the most appropriate paradigms and programming languages.
INS01 Analysis, synthesis, and assessment skills.
INS04 Problem solving skills by the application of engineering techniques.
PER01 Team work abilities.
PER02 Ability to work in multidisciplinary teams.
PER04 Interpersonal relationship skills.
PER05 Acknowledgement of human diversity, equal rights, and cultural variety.
SIS01 Critical thinking.
SIS03 Autonomous learning.
UCLM02 Ability to use Information and Communication Technologies.
5. Objectives or Learning Outcomes
Course learning outcomes
Problem solving by using basic algorithm design techniques.
Application of the basic principles of structured and object-oriented design for problem solving.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Introduction
    • Unit 1.1: Data types
    • Unit 1.2: Assigments
    • Unit 1.3: Input (Scanner) and output (print and printf)
  • Unit 2: Control structures
    • Unit 2.1: Selection
    • Unit 2.2: Loops
  • Unit 3: Data structures
    • Unit 3.1: Introduction to POO
    • Unit 3.2: vectors
    • Unit 3.3: arrays
  • Unit 4: Modularity
    • Unit 4.1: Without parameters
    • Unit 4.2: With parameters
    • Unit 4.3: Text files
  • Unit 5: Recursion
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures BA04 BA05 CO07 CO08 0.72 18 N N Teaching of the subject matter by lecturer (MAG)
Individual tutoring sessions [ON-SITE] BA04 BA05 CO07 CO08 UCLM02 0.18 4.5 N N Individual or small group tutoring in lecturer¿s office, classroom or laboratory (TUT)
Study and Exam Preparation [OFF-SITE] Self-study BA04 BA05 CO07 CO08 SIS01 SIS03 2.1 52.5 N N Self-study (EST)
Other off-site activity [OFF-SITE] Practical or hands-on activities BA04 BA05 CO07 CO08 INS01 INS04 PER01 PER02 PER04 PER05 SIS03 0.6 15 N N Lab practical preparation (PLAB)
Problem solving and/or case studies [ON-SITE] Problem solving and exercises BA04 BA05 CO07 CO08 INS04 PER01 PER02 PER04 PER05 SIS01 SIS03 UCLM02 0.6 15 Y N Worked example problems and cases resolution by the lecturer and the students (PRO)
Writing of reports or projects [OFF-SITE] Self-study BA04 BA05 CO07 CO08 INS01 INS04 PER02 PER04 PER05 0.9 22.5 Y N Preparation of essays on topics proposed by lecturer (RES)
Laboratory practice or sessions [ON-SITE] Practical or hands-on activities BA04 BA05 CO07 CO08 INS04 PER02 PER04 PER05 0.6 15 Y Y Realization of practicals in laboratory /computing room (LAB)
Final test [ON-SITE] Assessment tests BA04 BA05 CO07 CO08 INS01 INS04 PER01 PER02 0.3 7.5 Y Y According to the evaluation modality (EVA)
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Laboratory sessions 25.00% 25.00% Compulsory activity that can be retaken. To be carried out during lab sessions
Oral presentations assessment 10.00% 10.00% Non-compulsory activity that can be retaken. To be carried out during the theory/lab sessions
Final test 50.00% 50.00% Compulsory activity that can be retaken (rescheduling) to be carried out within the planned exam dates of the final exam call (convocatoria ordinaria).
Theoretical papers assessment 15.00% 15.00% Non-compulsory activity that can be retaken. To be carried out before end of teaching period
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    In compulsory activities, a minimum mark of 40% is required in order to pass that activity and have the possibility to therefore pass the entire subject. The evaluation of the activities will be global and therefore must be quantified by means of a single mark. In the case of the activities that may be retaken (i.e., rescheduling), an alternative activity or test will be offered in the resit/retake exam call (convocatoria extraordinaria).
    The final exam will be common for all the theory/laboratory groups of the subject and will be evaluated by the lecturers of the subject in a serial way, i.e., each part of the final exam will be evaluated by the same lecturer for all the students.
    A student is considered to pass the subject if she/he obtains a minimum of 50 points out of 100, taking into account the points obtained in all the evaluable activities, and also has passed all the compulsory activities.
    For students who do not pass the subject in the final exam call (convocatoria ordinaria), the marks of activities already passed will be conserved for the resit/retake examcall (convocatoria extraordinaria). If an activity is not recoverable, its assessment will be preserved for the resit/retake exam call (convocatoria extraordinaria) even if it has not been passed. In the case of the passed recoverable activities, the student will have the opportunity to receive an alternative evaluation of those activities in the resit/retake exam call and, in that case, the final grade of the activity will correspond to the latter grade obtained.
    The mark of the passed activities in any call, except for the final exam, will be conserved for the subsequent academic year at the request of the student, provided that mark is equal or greater than 50% and that the activities and evaluation criteria of the subject remain unchanged prior to the beginning of that academic year.
    The failure of a student to attend the final exam will automatically result in her/him receiving a "Failure to attend¿ (no presentado). If the student has not passed any compulsory evaluation activity, the maximum final grade will be 40%.
  • Non-continuous evaluation:
    Students may apply at the beginning of the semester for the non-continuous assessment mode. In the same way, the student may change to the non-continuous evaluation mode as long as she/he has not participated during the teaching period in evaluable activities that together account for at least 50% of the total mark of the subject. If a student has reached this 50% of the total obtainable mark or the teaching period is over, she/he will be considered in continuous assessment without the possibility of changing to non-continuous evaluation mode.
    Students who take the non-continuous evaluation mode will be globally graded, in 2 annual calls per subject, an ordinary and an extraordinary one (evaluating 100% of the competences), through the assessment systems indicated in the column "Non-continuous evaluation".
    In the "non-continuous evaluation" mode, it is not compulsory to keep the mark obtained by the student in the activities or tests (progress test or partial test) taken in the continuous assessment mode.

Specifications for the resit/retake exam:
Evaluation tests will be conducted for all recoverable activities.
Specifications for the second resit / retake exam:
Same characteristics as the resit/retake exam call.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 18
Individual tutoring sessions [PRESENCIAL][] 4.5
Study and Exam Preparation [AUTÓNOMA][Self-study] 52.5
Other off-site activity [AUTÓNOMA][Practical or hands-on activities] 15
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 15
Writing of reports or projects [AUTÓNOMA][Self-study] 22.5
Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] 15
Final test [PRESENCIAL][Assessment tests] 7.5

Unit 1 (de 5): Introduction
Teaching period: 2 weeks

Unit 2 (de 5): Control structures
Teaching period: 2 weeks

Unit 3 (de 5): Data structures
Teaching period: 2 weeks

Unit 4 (de 5): Modularity
Teaching period: 5 weeks

Unit 5 (de 5): Recursion
Teaching period: 2 weeks

Global activity
Activities hours
General comments about the planning: The course is taught in three weekly sessions of 1.5 hours. This planning is for all groups. The planning can be modified in the event of unforeseen causes.
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Muñoz Caro, Camelia Introduccion a la programacion con orientacion a objetos Prentice Hall 978-84-205-3440-4 2007 Ficha de la biblioteca
Nair, Premchand S. Java programming fundamentals: problem solving through obje CRC Taylor & Francis 978-1-4200-6547-3 2009 Ficha de la biblioteca
Sedgewick, Robert (1946-) Introduction to programming in Java: an interdisciplinary a Pearson, Addison-Wesley 0-321-49805-4 2008 Ficha de la biblioteca
Serrano Guerrero, Jesús; Vizcaíno Barceló, Aurora; Muñoz Caro, Camelia, Niño Ramos, Alfonso Ejercicios resueltos de programación imperativa en Java Bubok S.L. 978-84-686-2728-1 2012 Ejercicios resueltos en Java Ficha de la biblioteca

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