Department 

Department of Information Sciences at the University of Zadar

Description of the courses offered in a foreign language in the academic year 2020/2021

Name of the course

Introduction to Logic (BA/W)

Name of the teacher

Josip Ćirić, Ph.D., Associate professor

Number of ECTS credits

6

Semester

þ 

autumn/winter

□ spring/summer

Teaching will be organized as 

Lectures

þ yes          □ no

Consultations

þ yes          □ no

The courses will be organized as

Lectures

Seminars

Exercises

þ yes          □ no

□ yes             □ no

þ yes       □ no

Description of the course

Students are introduced to classical logic as well as propositional and predicate calculus. Dealing with logic calculus syntax is considered fundamental to acquiring basic topics of scientific methodology, statistical reasoning, computer architecture and programming. 

Learning outcomes of the course

By the end of course, students are expected to:

The course is offered to

Incoming students who choose the above department as a home department 

þ yes      □ no

All the incoming students regardless of the chosen home department at UNIZD

þ yes      □ no

UNIZD students enrolled at the above department as an elective course

□ yes      þ no

All UNIZD students as an elective course

□ yes      þ no

Name of the course

Introduction to Programming (BA/W)

Name of the teacher

Krešimir Zauder, Assistant Professor

Number of ECTS credits

6

Semester

þ 

autumn/winter

□ spring/summer

Teaching will be organized as 

Lectures

þ yes          □ no

Consultations

þ yes          □ no

The courses will be organized as

Lectures

Seminars

Exercises

þ yes          □ no

□ yes             □ no

þ yes       □ no

Description of the course

The goal of the course is to teach fundamental programming skills which are applicable to a wide array of languages and problems.

As the fundamental way of giving instructions to the computer, programming teaches both basic computer knowledge as well as empowers the students to solve many computer-solvable problems in a versatile and adaptable manner. Furthermore, programming teaches critical thinking as related to domain specific problems rather than just the usage of premade solutions.

The language of choice for this course is Python, which is both very popular as the first programming language and as the swiss army knife of programming languages. Python is used in a wide array of computer related problems and is especially popular as relating to data programming which goes well with the broader goal of educating information experts.

Learning outcomes of the course

After successfully passing this course, students will:

The course is offered to

Incoming students who choose the above department as a home department 

þ yes      □ no

All the incoming students regardless of the chosen home department at UNIZD

□ yes      þ no

UNIZD students enrolled at the above department as an elective course

□ yes      þ no

All UNIZD students as an elective course

□ yes      þ no

Name of the course

Digital Humanities (MA/W)

Name of the teacher

Marijana Tomić, Ph.D., Associate Professor

Nevenka Kalebić, Research Assistant

Laura Grzunov, Research Assistant

Number of ECTS credits

6

Semester

□ 

autumn/winter

þ spring/summer

Teaching will be organized as 

Lectures

þ yes          □ no

Consultations

þ yes          □ no

The courses will be organized as

Lectures

Seminars

Exercises

þ yes          □ no

þ yes          □ no

□ yes             □ no

Description of the course

The content of this course includes:

Insight at the project of digitization of old and rare material conducted at the Department of information studies

Draft proposal of its own project in DH

Learning outcomes of the course

Students will be able to  understand:

The course is offered to

Incoming students who choose the above department as a home department 

þ yes      □ no

All the incoming students regardless of the chosen home department at UNIZD

þ yes      □ no

UNIZD students enrolled at the above department as an elective course

□ yes      þ no

All UNIZD students as an elective course

□ yes      þ no

Name of the course

Database Design (BA/S)

Name of the teacher

Krešimir Zauder, Ph.D., Assistant Professor

Number of ECTS credits

6

Semester

□ 

autumn/winter

þ spring/summer

Teaching will be organized as 

Lectures

þ yes          □ no

Consultations

þ yes          □ no

The courses will be organized as

Lectures

Seminars

Exercises

þ yes          □ no

□ yes             □ no

þ yes       □ no

Description of the course

The goal of the course is to teach the fundamentals of structuring digital data for long term management and analysis.

The central technology for data in this respect in the computer age are the database management systems and specifically the relational model of data. The main part of the course is dedicated to the concepts and practical considerations of the relational model but it also teaches broader subjects to enable students to recognise various data needs as required for different goals and tasks.

During the course, students will primarily work with PostgreSQL, MongoDB and SQLite database systems but other software will also be mentioned.

Learning outcomes of the course

After successfully passing this course, students will:

The course is offered to

Incoming students who choose the above department as a home department 

þ yes      □ no

All the incoming students regardless of the chosen home department at UNIZD

□ yes      þ no

UNIZD students enrolled at the above department as an elective course

□ yes      þ no

All UNIZD students as an elective course

□ yes      þ no

Name of the course

Old Books Description and Access Systems (BA/W)

Name of the teacher

Marijana Tomić, Ph.D., Associate Professor

Laura Grzunov, teaching assistant

Number of ECTS credits

6

Semester

□ 

autumn/winter

þ spring/summer

Teaching will be organized as 

Lectures

□ yes          □ no

Consultations

□ yes          □ no

The courses will be organized as

Lectures

Seminars

Exercises

þ yes          □ no

þ yes          □ no

þ yes       □ no

Description of the course

Learning outcomes of the course

Students will be able to:

The course is offered to

Incoming students who choose the above department as a home department 

þ yes      □ no

All the incoming students regardless of the chosen home department at UNIZD

þ yes      □ no

UNIZD students enrolled at the above department as an elective course

þ yes      □ no

All UNIZD students as an elective course

□ yes      þ no

Name of the course

Human Information Behavior (MA/S)

Name of the teacher

Ivanka Stričević, Ph.D., Full Professor 

Mate Juric, Ph.D., postdoctoral researcher

Nikolina Peša Pavlović, teaching assistant

Number of ECTS credits

6

Semester

□ 

autumn/winter

þ spring/summer

Teaching will be organized as 

Lectures

þ yes          □ no

Consultations

þ yes          □ no

The courses will be organized as

Lectures

Seminars

Exercises

þ yes          □ no

þ yes          □ no

□ yes      □ no

Description of the course

The content of this course includes:

Learning outcomes of the course

Students will be able to:

The course is offered to

Incoming students who choose the above department as a home department 

þ yes      □ no

All the incoming students regardless of the chosen home department at UNIZD

□ yes      þ no

UNIZD students enrolled at the above department as an elective course

□ yes      þ no

All UNIZD students as an elective course

□ yes      þ no

Name of the course

Data Mining (MA/S)

Name of the teacher

Ante Panjkota, Ph.D., Assistant Professor

Number of ECTS credits

6

Semester

□ 

autumn/winter

þ spring/summer

Teaching will be organized as 

Lectures

þ yes          □ no

Consultations

þ yes          □ no

The courses will be organized as

Lectures

Seminars

Exercises

þ yes          □ no

□ yes             □ no

þ yes       □ no

Description of the course

The goal of this course is to acquaint students with basic concepts, tasks, and techniques of Data Mining. Throughout the course activities main intention is on developing fundamental knowledge and skills that pertain to the application of data mining on suitable problems from different domains, e.g., image classification, stock market prediction, customer segmentation, and so on.     Besides that, students will learn to set-up problems as data mining experiments with the following phases: data acquisition phase, phase of data understanding, data preparation or preprocessing stage, choosing an appropriate model for the observed task, data visualization, and data interpretation. Writing the reports of the conducted experiments, students are finishing almost the whole cycle of the research process. With this course concept, students are qualified for applying data mining techniques as a complementary research method in their master thesis.

Learning outcomes of the course

By the end of the course, students will be able to:

The course is offered to

Incoming students who choose the above department as a home department 

þ yes      □ no

All the incoming students regardless of the chosen home department at UNIZD

□ yes      þ no

UNIZD students enrolled at the above department as an elective course

□ yes      þ no

All UNIZD students as an elective course

□ yes      þ no