1. General information
Course:
PROGRAMMING FUNDAMENTALS I
Code:
42302
Type:
BASIC
ECTS credits:
6
Degree:
346 - DEGREE IN COMPUTER SCIENCE AND ENGINEERING
Academic year:
2019-20
Center:
604 - SCHOOL OF COMPUTER SCIENCE AND ENGINEERING (AB)
Group(s):
10
11
12
14
13
Year:
1
Duration:
First semester
Main language:
Spanish
Second language:
English
Use of additional languages:
Spanish will be used in traditional group and English will be used in the bilingual group
English Friendly:
N
Web site:
Bilingual:
Y
Lecturer:
MIGUEL ANGEL GALDON ROMERO
- Group(s):
10
11
12
Building/Office
Department
Phone number
Email
Office hours
ESII / 1.A.2
SISTEMAS INFORMÁTICOS
2442
miguel.galdon@uclm.es
Consultar
Campus Virtual
Lecturer:
ARTURO SIMON GARCIA JIMENEZ
- Group(s):
13
Building/Office
Department
Phone number
Email
Office hours
ESII / 0.A.4
SISTEMAS INFORMÁTICOS
97144
arturosimon.garcia@uclm.es
Consultar
https://www.esiiab.uclm.es/tutorias.php
Lecturer:
ANA AMELIA GONZALEZ LOPEZ
- Group(s):
10
11
12
Building/Office
Department
Phone number
Email
Office hours
ESII / 1.C.4
SISTEMAS INFORMÁTICOS
2459
ana.gonzalez@uclm.es
Consultar
https://www.esiiab.uclm.es/tutorias.php
Lecturer:
JUAN JOSE PARDO MATEO
- Group(s):
10
11
12
Building/Office
Department
Phone number
Email
Office hours
ESII / 0.A.10
SISTEMAS INFORMÁTICOS
2044
juanjose.pardo@uclm.es
Consultar
https://www.esiiab.uclm.es/tutorias.php
2. Pre-Requisites
This subject is taught in the first four-month period of the first year of the Computer Science degree. Because of this, it will be new to most students and it will most likely be their first contact with programming. Therefore, it does not seem logical to stablish prerequisites in this case.
In spite of this, and with the main purpose of guaranteeing the assimilation of the contents and the acquisition of skills of this subject, the student is advised to take advantage of certain personal skills and abilities that they acquired during their primary and secondary studies. Among them, we highlight the critical reading of the texts of the bibliography, the use of the electronic material of this subject available on the virtual campus platform and the active search for complementary material on the Internet.
3. Justification in the curriculum, relation to other subjects and to the profession
Programming Fundamentals I is not an isolated subject, but a part of the curriculum with a close relationship to the rest of the subjects. Thus, this subject has been included in the groups of subjects dedicated to Programming together with Programming Fundamentals II, Data Structures, Programming Methodology and Concurrent and Real Time Programming. Since Programming Fundamentals I is the first subject of the group, it will be one of the fundamental pillars in which the basic concepts of programming will be established, which will subsequently be used by the other subjects of the group.
In addition, the knowledge and skills acquired with this subject will be important for the proper development of other subjects, such as Software Engineering.
Going beyond the university environment and thinking about the future employment of our students, this subject (and all those of that make up the group) will provide them with the necessary skills and abilities to make a good project planning and an evaluation the different alternatives proposed. All this considering that a graduate in computer science is not called to be a mere programmer but to be responsible for large projects.
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| BA4 | Basic knowledge about the uses and programming of computers, operating systems, data bases, and digital programmes with applications in engineering. |
| BA5 | Knowledge about the structure, organization, functioning, and inter connexions of digital programmes, with their application in engineering problems. |
| CO7 | Knowledge, design, and efficient use of types of data and structures which arise as most appropriate in problem solving. |
| CO8 | Ability to analyse, design, build and maintain applications in a strong, safe, and efficient manner by selecting the most appropriate paradigms and programming languages. |
| INS1 | Analysis, synthesis, and assessment skills. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Application of basic principles of structured design, led to objects for problem solving. | |
| Resolution of problems throughout basic techniques of algorithm design. | |
| Additional outcomes | |
| Description | |
| Acquire information autonomously, explain it to classmates making sure they have assimilated it. | |
| Code, tune and execute simple programs written in the C programming language. | |
| Know how to choose and manipulate the right types of data for a correct representation of the information. | |
6. Units / Contents
-
Unit 1: Introduction to Programming
-
Unit 2: Representing simple data in memory
-
Unit 3: Data input/output
-
Unit 4: Control statements
-
Unit 4.1: Blocks of execution
-
Unit 4.2: Conditional control statements
-
Unit 4.3: Repetition/looping structures
-
-
Unit 5: Subprograms
-
Unit 6: Vectors and Matrices
-
Unit 7: User defined datatypes
-
Unit 7.1: Registers
-
Unit 7.2: Definition of new datatypes
-
-
Unit 8: Data input/output: Files
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | R | Description * |
| Class Attendance (theory) [ON-SITE] | Combination of methods | BA4 BA5 CO7 CO8 | 0.66 | 16.5 | N | N | N | |
| Laboratory practice or sessions [ON-SITE] | Practical or hands-on activities | BA4 BA5 CO7 CO8 INS1 | 0.66 | 16.5 | N | N | N | |
| Problem solving and/or case studies [ON-SITE] | Problem solving and exercises | BA4 BA5 CO7 CO8 INS1 | 0.72 | 18 | N | N | N | |
| Progress test [ON-SITE] | Assessment tests | BA4 BA5 CO7 CO8 INS1 | 0.24 | 6 | Y | N | Y | |
| Study and Exam Preparation [OFF-SITE] | Self-study | BA4 BA5 CO7 CO8 INS1 | 2.32 | 58 | N | N | N | |
| Final test [ON-SITE] | Assessment tests | BA4 BA5 CO7 CO8 INS1 | 0.16 | 4 | Y | Y | Y | |
| Writing of reports or projects [OFF-SITE] | project-based learning | BA4 BA5 CO7 CO8 INS1 | 0.8 | 20 | Y | N | Y | |
| Other off-site activity [OFF-SITE] | Self-study | BA4 BA5 CO7 CO8 INS1 | 0.44 | 11 | N | N | N | |
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2.44 | Total class time hours: 61 | |||||||
| Total credits of out of class work: 3.56 | Total hours of out of class work: 89 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming R: Rescheduling training activity
8. Evaluation criteria and Grading System
| Grading System | |||
| Evaluation System | Face-to-Face | Self-Study Student | Description |
| Other methods of assessment | 15.00% | 0.00% | [INF] A programming project, made in group of 3, will be assessed in this part |
| Progress Tests | 45.00% | 0.00% | [ESC] Progress test will be assessed and the final test, if students do this. |
| Assessment of active participation | 10.00% | 0.00% | [INF] Participation in classes and the delivery of some extra exercise will be graded. |
| Test | 30.00% | 0.00% | [LAB] This part values the laboratory progress test and the laboratory final test if the students do this. These tests will be different for students that attend practical classes and for students who don't attend the practical classes. |
| Total: | 100.00% | 0.00% | |
Evaluation criteria for the final exam:
Students must have an average grade of 50%, at least, in the block theorical test + practical test, and have an average grade of 5 to pass the course.
So, the following equation must be true:
"Progress test"*0.45 + "Practical test"*0.3 >= 3.75 (up to 7.5)
and
"Progress test "*0.45 + "Practical test"*0.3 + "project"*0.15 + "participation"*0.1 >= 5 (up to 10)
Students who pass the course through progress tests, laboratory practices and project delivery, will not have to take the final test.
Students not passing the course will take a final test that replace the progress test taken during the continuous evaluation. The final test will have two parts, one written (theoretical) and one in laboratory (practical) with the weights indicated above (45% and 30% respectively). Thus, the total value of this test will be 75% of the final grade. Students are free to decide which part of the exam (written, practical or both) they will take, retaining the grade obtained in the parts that they decide not to take the exam.
In this call, the mark of the programming project will be the one obtained in the delivery made during the course.
The grade corresponding to the achievement in class (5% of the grade) cannot be recovered.
The student who does not pass the mandatory activities/assignments required in the subject will have a mark not higher than 4.00 even if the obtained average was another, including more than 5.00.
So, the following equation must be true:
"Progress test"*0.45 + "Practical test"*0.3 >= 3.75 (up to 7.5)
and
"Progress test "*0.45 + "Practical test"*0.3 + "project"*0.15 + "participation"*0.1 >= 5 (up to 10)
Students who pass the course through progress tests, laboratory practices and project delivery, will not have to take the final test.
Students not passing the course will take a final test that replace the progress test taken during the continuous evaluation. The final test will have two parts, one written (theoretical) and one in laboratory (practical) with the weights indicated above (45% and 30% respectively). Thus, the total value of this test will be 75% of the final grade. Students are free to decide which part of the exam (written, practical or both) they will take, retaining the grade obtained in the parts that they decide not to take the exam.
In this call, the mark of the programming project will be the one obtained in the delivery made during the course.
The grade corresponding to the achievement in class (5% of the grade) cannot be recovered.
The student who does not pass the mandatory activities/assignments required in the subject will have a mark not higher than 4.00 even if the obtained average was another, including more than 5.00.
Specifications for the resit/retake exam:
Students will have to take a final test that will have two parts, one written (theoretical) and one laboratory (practical) with the weights indicated above (45% and 30% respectively). Thus, the total value of this test will be 75% of the final grade. As in the previous call, students will be able to decide which part of the exam they will take, retaining the grade obtained in previous calls for the part they are not taking in this exam.
Students will be able to retake the part of the programming project if they failed or did not presented it. They will have to carry out and present a new project in this call, which will be different from the one proposed during the course.
It is not possible to bring up the grade corresponding to the achievement in class (10% of the grade). Therefore, the one obtained during the course will be used for the final grade.
The student who does not pass the mandatory activities/assignments required in the subject will have a mark not higher than 4.00 even if the obtained average was another, including more than 5.00.
Students will be able to retake the part of the programming project if they failed or did not presented it. They will have to carry out and present a new project in this call, which will be different from the one proposed during the course.
It is not possible to bring up the grade corresponding to the achievement in class (10% of the grade). Therefore, the one obtained during the course will be used for the final grade.
The student who does not pass the mandatory activities/assignments required in the subject will have a mark not higher than 4.00 even if the obtained average was another, including more than 5.00.
Specifications for the second resit / retake exam:
The students will take a final test (this test could have a written part and another practical part) whose assessment will be 100%.
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Progress test [PRESENCIAL][Assessment tests] | 6 |
| Final test [PRESENCIAL][Assessment tests] | 4 |
| Unit 1 (de 8): Introduction to Programming | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 1.5 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 2 |
| Other off-site activity [AUTÓNOMA][Self-study] | 1 |
| Unit 2 (de 8): Representing simple data in memory | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 1.5 |
| Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] | 1.5 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 1 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 2 |
| Other off-site activity [AUTÓNOMA][Self-study] | 1 |
| Unit 3 (de 8): Data input/output | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 1.5 |
| Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] | 1.5 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 1 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 2 |
| Writing of reports or projects [AUTÓNOMA][project-based learning] | 1 |
| Other off-site activity [AUTÓNOMA][Self-study] | 1 |
| Unit 4 (de 8): Control statements | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 3 |
| Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] | 3 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 3.5 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 18 |
| Writing of reports or projects [AUTÓNOMA][project-based learning] | 5 |
| Other off-site activity [AUTÓNOMA][Self-study] | 2 |
| Unit 5 (de 8): Subprograms | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 2.5 |
| Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] | 3 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 3.5 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 20 |
| Writing of reports or projects [AUTÓNOMA][project-based learning] | 4 |
| Other off-site activity [AUTÓNOMA][Self-study] | 2 |
| Unit 6 (de 8): Vectors and Matrices | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 3 |
| Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] | 4.5 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 3 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 5 |
| Writing of reports or projects [AUTÓNOMA][project-based learning] | 5 |
| Other off-site activity [AUTÓNOMA][Self-study] | 3 |
| Unit 7 (de 8): User defined datatypes | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 2.5 |
| Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] | 3 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 4 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 8 |
| Writing of reports or projects [AUTÓNOMA][project-based learning] | 5 |
| Other off-site activity [AUTÓNOMA][Self-study] | 1 |
| Unit 8 (de 8): Data input/output: Files | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 1 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 2 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 1 |
| Global activity | |
|---|---|
| Activities | hours |
| General comments about the planning: | This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in three weekly sessions of 1.5 hours over 13 weeks. Evaluation or make-up activities could be performed in the afternoon, in case of necessity. |
10. Bibliography and Sources