Course details

Project Practice 1 (in English)

IP1e Acad. year 2020/2021 Winter semester 5 credits

Current academic year

  • Instructors appointed by the head of department present their projects and certain goals to be achieved by the students in advance before enrolment.
  • Students enrol in projects in the similar way as in the bachelor's thesis. A supervisor has the final right to choose. His/her choice will be justified in the written form briefly (e.g. previous practice, achieved grade average).
  • The supervisor is responsible for the regular check of a student's activity.

Guarantor

Deputy Guarantor

Language of instruction

English

Completion

Classified Credit

Time span

52 hrs projects

Assessment points

100 projects

Department

Instructor

Course Web Pages

List of available topics

Supervisor Department Topic
Beran Vítězslav, Ing., Ph.D. DCGM Use of Human Detection for Robot Control
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. DITS Generating Synthetic Fingerprints from a Biometric Template
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. DITS Morphing of Fingerprints
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. DITS Morphing of 2D Faces
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. DITS Morphing of 3D Faces
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. DITS Preparation of Various Photos of One Person on Composition of 3D Model of Head
Herout Adam, prof. Ing., Ph.D. DCGM Android App for Annotation of Image Data
Herout Adam, prof. Ing., Ph.D. DCGM Web App for Annotation of Image Data
Lengál Ondřej, Ing., Ph.D. DITS Formal Verification of Computer Programs
Strnadel Josef, Ing., Ph.D. DCSY Fault Injection Based on QEMU
Strnadel Josef, Ing., Ph.D. DCSY Statistical Model Checking of Approximate Computing Systems
Strnadel Josef, Ing., Ph.D. DCSY Statistical Model Checking of Neural Networks
Strnadel Josef, Ing., Ph.D. DCSY Statistical Model Checking of Cellular Automata Systems
Strnadel Josef, Ing., Ph.D. DCSY Profiling of Embedded Applications
Smrž Pavel, doc. RNDr., Ph.D. DCGM Opinion Extraction from Social Networks, Blogs and Discussions
Smrž Pavel, doc. RNDr., Ph.D. DCGM Information Extraction from Text
Strnadel Josef, Ing., Ph.D. DCSY Control of Self-Parking Cars
Kanich Ondřej, Ing., Ph.D. DITS Simulation of Skin Disease Damage into Synthetic Fingerprints
Kanich Ondřej, Ing., Ph.D. DITS Detection and Classification of Damage in Fingerprint Images
Smrčka Aleš, Ing., Ph.D. DITS Experimental Evaluation of ANaConDA Framework

Learning objectives

To make talented bachelor students familiar with the basis of research work by participating in different projects conducted by research and development groups under the expert lead of a project supervisor.

Why is the course taught

There is an elective course. It allows already during study in the frame of  a tution to take part in a real project solution which are usually directed to academical workers and doctoral students. The course is teaching because it allows for talented students to work with top technologies and solutions already during the study. Further it allows students to write reports of their work and to defend them.

Prerequisites

Study literature

Fundamental literature

According to the orientation of the project.

Syllabus - others, projects and individual work of students

  1. An individual project according to assignments and instructions of a supervisor.

Progress assessment

A student works on the assigned task according to his/her supervisor's instructions. It is expected that the student will attend regular consultations with the supervisor.

Controlled instruction

  • Continuous consultations with student's supervisor.
  • A written report in the extent of at least 10 regular pages.
  • 15 minutes presentation and defence at the department seminar.

Exam prerequisites

Before the end of teaching part of a semester, the student will hand in a written report in the form of a scientific article in the extent of at least 10 regular pages. Before the end of the examination period, the student presents his/her results for 15 minutes at the department seminar. The head of department determines the assessment in the range of 0-100 points on the supervisor's proposal based on the defence and the submitted report. In order to gain a credit it is necessary to get at least 50 points from 100. A student must gain at least 70 points or higher to be able to continue in the follow-up course "IP2e - Project practice 2".

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