Course syllabus VA1A - Computer Technology and Algorithms I (FBE - WS 2019/2020)


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Course code: VA1A
Course title in Czech:
Computer Technology and Algorithms I
Course title in English:
Computer Technology and Algorithms I
Semester:
WS 2019/2020
Mode of completion and number of credits:
Fulfillment of requirements (3 credits)
Mode of delivery and timetabled classes:
full-time, 2/1 (hours of lectures per week / hours of seminars per week)
Level of course:
bachelor
Course type:
required
Type of delivery: usual, consulting
Mode of delivery for our mobility students abroad:
-- item not defined --
Language of instruction:
English
Course supervisor: Ing. Dita Henek Dlabolová, Ph.D.
Course supervising department:
Department of Informatics (FBE)
Faculty:
Teachers:
Ing. Dita Henek Dlabolová, Ph.D. (examiner, instructor, lecturer, supervisor, tutor)
Prerequisites:
not Computer Technology I and not Final Bachelor Exam
 
Timetable in this semester:
Day
From-till
Room
TeacherEntry
Frequency
Capacity
Thursday
9.00-9.50
Q16D. Henek Dlabolová
Lecture
Every week
48
Thursday
11.00-12.50
Q47D. Henek Dlabolová
Seminar
Every week
29
Thursday13.00-14.50Q47D. Henek Dlabolová
Seminar
Every week
20
 
Aim of the course and learning outcomes:
Basic principles of computing technology and of data storage, contemporary computer architecture, common input/output devices and operating systems are introduced. Further, basic principles of computer networks and security are explained. Student will learn and practice basics of typography and creation of professional text documents.
 
Course content:
1.
Introduction to computer technology (allowance 2/0)
 
a.
Basic terms and principles
b.
History and basic structure of the computers
c.
Data types, data processing

2.
Basics of operating systems (allowance 2/8)
 
a.Working with the Windows
b.
Structure and typical features of Unix, Linux and Mac OS X
c.
Operating systems for mobile devices and trends (iOS, Android, Chrome OS, etc.)

3.
Introduction to hardware resources (allowance 2/2)
 
a.
Processor
b.Memory
c.
Input/output devices

4.
Introduction to computer networks and security (allowance 4/2)
 
a.
Computer networks principles and concepts
b.
Effective use of a computer network, security

5.Introduction to common office applications (allowance 2/12)
 
a.
Basic typography rules
b.
Text processing (document structure, multimedia, etc.)
c.
Creating presentation

Learning activities and teaching methods:
Type of teaching method
Daily attendance
lecture14 h
practice
28 h
preparation for exam
22 h
preparation for regular assessment
10 h
preparation for regular testing
10 h
Total
84 h
 
Assessment methods:
To pass the course, the student must submit three homeworks within the given deadline and an individual in-class project from text processing (student needs to gain at least 50% of the points, can be re-sited twice). Alternatively, student can present their ECDL Start (or higher) certificate at the beginning of the semester.
The final test has two parts. The first part is a test theoretical knowledge is in e-learning environment (hardware, networks, operating systems, minimum is 50%), the second part is from practical skills of using OS Windows (minimum is 50%).
Regarding the compulsory in-class project, the course in the present form can't be studied during an internship abroad (with the above mention exception for holders of ECDL certificate).
 
Assessment criteria ratio:
Requirement type
Daily attendance
Total
0 %
 
Recomended reading and other learning resources:
Basic:
Col. Discovering computers: essentials enhanced : technology in a world of computers, mobile devices, and the internet. Boston: Cengage learning, 246 p. Shelly cashman series. ISBN 978-1-285-84553-1.
MICROSOFT, C. MS PowerPoint Training.  [online]. 2018. URL: https://support.office.com/en-us/article/powerpoint-for-windows-training-40e8c930-cb0b-40d8-82c4-bd53d3398787.
CODE, O. Khan Academy: How Computers Work.  [online]. 2018. URL: https://www.khanacademy.org/computing/computer-science/how-computers-work2.

Recommended:
JEDLIČKA, P. -- KUNDEROVÁ, L. -- HÁLA, T. -- MACHALOVÁ, J. Introduction to Computer Science. 1st ed. Brno: Konvoj, 2004. 63 p. ISBN 80-7302-089-0.
BERTSEKAS, D. -- MODIANO, E. Data Communication Networks Lecture Notes.  [online]. 2002. URL: http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-263j-data-communication-networks-fall-2002/index.htm.

Course listed in study plans for this semester:
Field of study B-EMEN-MEEN Business Economics and Management, full-time form, initial period WS 2019/2020
 
Course listed in previous semesters: SS 2019/2020, SS 2018/2019, WS 2018/2019, SS 2017/2018, WS 2017/2018, SS 2016/2017 (and older)
Teaching place: Brno


Last modification made by Ing. Jiří Gruber on 09/20/2019.

Type of output: