Review of Activities of Working Group for Database Systems Prof. Dr Slobodanka Đorđević-Kajan

Activities Reconstruction of the existing courses New topics added New and revised lab practices New courses New teaching materials New textbooks Teaching material in electronic form Retraining of teaching staff

Reconstruction of the existing courses Courses Data structures and databases System software

Databases - reconstruction New topics added EER and UML conceptual modeling Embedded SQL Dynamic SQL ODBC, JDBC New teaching tools SQL-tutor KERMIT NORMIT New and revised lab practices EER/UML modeling Mapping to relational data model Development DB applications Student projects

Data Structures - Reconstruction New topics Data structures implementation in Java New teaching tools Data structures visualization tools New lab practices 7 new labs: Data structures implementation in Java Student projects

System software - Reconstruction New labs practices 6 new labs in System programming (Unix/Linux, XP/2000) Student projects in system programming

New Courses Software Engineering  Elective in 9th semester  2003/2004 Advance Techniques for Databases  Elective in 9th semester  2004/2005

Software Engineering Course Web site Course Coordinator Prof. Dr Slobodanka Đorđević-Kajan Course Assistants Dr Leonid Stoimenov Dr Dragan Stojanović Dr Dejan Rančić

Software Engineering Textbook Eric J. Braude, Software Engineering: An Object- Oriented Perspective, John Wiley&Sons, 2001 Course Goals To provide computer science students with a practical understanding of software engineering concepts including the experience of developing software in teams in accordance to a disciplined development process

Software Engineering Major Topics Background and overview of life cycle models Software processes Project management Software requirements and specifications Software design and architecture Detailed Design Unit Implementation Software quality assurance and testing Software maintenance

Software Engineering Lab Projects (12 weeks) Students work in teams (7-9 students) developing a small software product from requirements elicitation to delivery following a disciplined software development process with numerous intermediate deliverables and quality checks Example of student projects:  Maltimedia education system for children with harning impirment

Advance Techniques for Databases Course Web site Course Coordinator Dr Leonid Stoimenov, lecturer Course Assistant Dipl. ing. Aleksandar Stanimirović

Advance Techniques for Databases Textbook 1. R. Emasri, S. Navathe, Fundamentals of Database Systems, Addison-Wesley, ISBN , 3 rd edition, S.Djordjevic-Kajan, Relational Databases, Tutorial, Faculty of Electronic Engineering Nis, 4 th edition, 2001 Course Goals To provide computer science students with a practical understanding of advanced database management systems and database concepts, including the database security, query optimization and database recovery

Advance Techniques for Databases Major Topics Database management systems Transactions Stored procedures Database security Database recovery Query optimization Client-server architecture Distributed and mobile databases Object-oriented and object-relational databases Integration of information Other types of databases (active, temporal, scientific, spatial)

Advance Techniques for Databases Lab Projects (12 weeks) Students work individual or in teams (2-3 students) Examples of student projects:  Postrelational databases - Cache  Native XML Databases - eXist ...

New teaching material Lab manuals Databases in Oracle Data Structures in Java Data Structures in C++ (in publishing) System software (Operating Systems and System programming) Artificial Intelligence Teaching material in electronic form Slides covering all the lessons Answers to selected exercises Handouts that contains a summary of lessons, a set of exercises, etc. Tutorials Supplementary material

Databases -Lab manual 6 labs for Database Development Lab 1: Conceptual and Logical Design Build Conceptual Data Model (ER/EER modelling) Build and Validate Logical Data Model (Mapping ER/EER to Relational Data Model, Normalization) Lab 2: Physical Database Design (using ORACLE*Plus) Translate Logical Data Model for ORACLE DBMS Creating relations Loading Database Lab 3: Simple SQL Queries Lab 4: Complex SQL Queries Lab 5: Physical Database Design Update Database Design File Organization and Indexes Design User Views Lab 6: DB applications Development (using Pro*C/C++)

Data Structures in Java/C++ Lab manuals 6 labs for basic data structures implementation Lab 1: Array Lab 2: Linked list Lab 3: Stack, Queue and Deque Lab 4: Hash table Lab 5: Tree Lab 6: Graph

Conclusions Objectives: Improve teaching and learning process Realization: 8 on a scale from 1 to 10