Software Development Laboratory 2

A tantárgy neve magyarul / Name of the subject in Hungarian: Szoftverfejlesztés laboratórium 2

Last updated: 2015. november 13.

Budapest University of Technology and Economics
Faculty of Electrical Engineering and Informatics

BSc degree program in Engineering Information Technology 

Software Engineering 
Course ID Semester Assessment Credit Tantárgyfélév
VIAUAD00 7 0/0/2/f 2  
3. Course coordinator and department Dr. Mezei Gergely,
4. Instructors

Name:

Position:

Department:

 

Dr. Charaf Hassan

associate professor

Dept. of Automation and Applied Informatics

Dr. Gergely Mezei

associate professor

Dept. of Automation and Applied Informatics

Dr. István Majzik

associate professor

Dept. of Measurement and Information Systems

Dr. Lengyel László

associate professor

Dept. of Automation and Applied Informatics

5. Required knowledge Software technology, Software techniques
6. Pre-requisites
Kötelező:
(((Szakirany("AMINszoftfejlAUT", _)
VAGY Szakirany("AMINszoftfejlIIT", _)
VAGY Szakirany("AMINszoftfejlMIT", _) )

ÉS
TargyEredmeny( "BMEVIMIAC04" , "jegy" , _ ) >= 2

ÉS (TargyEredmeny( "BMEVIAUAC02" , "jegy" , _ ) >= 2
VAGY TargyEredmeny( "BMEVIIIAC01" , "jegy" , _ ) >= 2 ) )




VAGY Szakirany("VIABI-SOFTWE", _)

VAGY Szakirany("AMIrendszfejl", _)

VAGY Szakirany("AMIszoft", _) )



ÉS NEM ( TárgyEredmény( "BMEVIAUA425" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIAUA425", "FELVETEL", AktualisFelev()) > 0
VAGY
TárgyEredmény( "BMEVIIIA428" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIIIA428", "FELVETEL", AktualisFelev()) > 0
VAGY
TárgyEredmény( "BMEVIAUAD01" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIAUAD01", "FELVETEL", AktualisFelev()) > 0)

A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

A kötelező előtanulmányi rend az adott szak honlapján és képzési programjában található.

7. Objectives, learning outcomes and obtained knowledge The goal of this course is to give a practical knowledge to the materials learned during Client Side Technologies and  Integration and Verification Techniques.
8. Synopsis

- Client-side technologies 1-5 (thin, thick and mobile clients) (AUT) 

-  Integration and Verification Techniques 1-2 (MIT)

9. Method of instruction Laboratory
10. Assessment

During the semester

 - Preparation before the classes, activity during the measurements and documenting the measurements
 - The measurement materials (e.g. reports) must be sent to the instructor within one week following the measurement

 -  All measurements are evaluated separately and a grade is given for them. At least 6 of the 7 measurements must have a grade >=2. The final grade is the avarage of the 7 grade.

 

In the exam period: 

 None

11. Recaps

One measurement can be repeated during the repeat period in accordance with the Code of Studies and Exams.

12. Consultations Arranged on demand by the lecturer or instructor.
13. References, textbooks and resources Materials given before the measurements
14. Required learning hours and assignment

 

Contact class

28

Preparation for classes during the semester

32

Preparation for the midterm exam and final exam

-

Preparing homework

-

Sum

60
15. Syllabus prepared by

Name:

Position:

Department:

 

Dr. Charaf Hassan

associate professor

Dept. of Automation and Applied Informatics

Dr. Gergely Mezei

associate professor

Dept. of Automation and Applied Informatics

Dr. István Majzik

associate professor

Dept. of Measurement and Information Systems

Dr. Lengyel László

associate professor

Dept. of Automation and Applied Informatics