Software Development Laboratory 1

A tantárgy neve magyarul / Name of the subject in Hungarian: Szoftverfejlesztés laboratórium 1

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
VIAUAC03 6 0/0/2/f 2  
3. Course coordinator and department Dr. Mezei Gergely,
4. Instructors

Name:

Position:

Department:

 

Dr. Gergely Mezei

associate professor

Dept. of Automation and Applied Informatics

Dr. Balázs Goldschmidt 

associate professor

Dept. of Control Engineering and Information Technology


  
5. Required knowledge

Software technology, Software techniques

6. Pre-requisites
Kötelező:
(((Szakirany("AMINszoftfejlAUT", _) VAGY
Szakirany("AMINszoftfejlIIT", _) VAGY
Szakirany("AMINszoftfejlMIT", _) )

ÉS TargyEredmeny( "BMEVIAUAC01" , "jegy" , _ ) >= 2 )



VAGY Szakirany("AMIszoft", _)

VAGY Szakirany("AMIrendszfejl", _)


VAGY Szakirany("VIABI-SOFTWE", _) )


ÉS NEM ( TárgyEredmény( "BMEVIAUA372" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIAUA372", "FELVETEL", AktualisFelev()) > 0
VAGY
TárgyEredmény( "BMEVIIIA374" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIIIA374", "FELVETEL", AktualisFelev()) > 0
VAGY
TárgyEredmény( "BMEVIAUAC09" , "jegy" , _ ) >= 2
VAGY
TárgyEredmény("BMEVIAUAC09", "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 Data-driven Systems.

8. Synopsis

The topics are the following:

- Microsoft SQL Server 1-2 

- Oracle Server 1-2 

- Query optimization

- Entity Framework 

- SQL Reporting Services

- Multitier applications based on WCF

 

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

12. Consultations Arranged on demand by the lecturer or instructor.
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. Gergely Mezei

associate professor

Dept. of Automation and Applied Informatics

Dr. Balázs Goldschmidt 

associate professor

Dept. of Control Engineering and Information Technology

Dr. Charaf Hassan

 associate professor Dept. of Automation and Applied Informatics