Acad. year 2020/2021Full-Time 2 Years Title Awarded Ing.
Bioinformatika a biocomputing je specializace, která leží na pomezí informatiky a biologie. Naučíte se porozumět relevantním principům biologie, např. z oblasti molekulární genetiky, evolučních teorií či neurověd. Základem je ale informatika - díky ní se naučíte používat, vytvářet a efektivně implementovat algoritmy pro zpracování, analýzu a prezentaci biologických dat.
Tato specializace předpokládá hlubší zájem uchazeče o biologii a genetiku a znalosti z těchto oborů na úrovni gymnázia.
Až dostudujete, budou z vás specialisté na bioinformatiku a biologií inspirovanou umělou inteligenci. Zaměstnají vás biotechnologické laboratoře a firmy zabývající se inteligentním zpracováním dat a aplikacemi umělé inteligence.
1st Year
V 1. semestru, kromě povinných teoretických předmětů z informatiky, získáte přehled i v oblastech molekulární genetiky a strojového učení. Ve 2. semestru, pokud zvolíte doporučený průchod studiem, přijdou klíčové předměty specializace pokrývající bioinformatické algoritmy a principy biologií inspirované umělé inteligence.
2nd Year
Druhý ročník začíná poslední várkou povinných oborových předmětů, ve kterých si doplníte znalosti z oblasti bioinformatiky a dolování dat. Dále bude následovat řada volitelných předmětů umožňujících vaši profilaci. Hlavní náplní druháku je ale tvorba diplomové práce.
The common core of the program consists of courses that will give you the knowledge important for all IT engineers:
Computation Systems Architectures will teach you how to think about how your code will run on modern computing platforms, how to think about programming in a way that makes the most efficient use of resources, i.e., that your application makes the best use of the power of modern platforms, makes efficient use of system memory resources, and is also efficient in terms of energy consumed.
Functional and Logic Programming will teach you that although classical imperative programming is a very widely used paradigm and is very close to machine-level implementation, there are other approaches that will give you a new perspective on some key problems and help you get novel and often more efficient solutions to them.
Modern Trends in Informatics (in English) you need to know to see where the field is going and what to expect in practice in a few years.
Parallel and Distributed Algorithms is a course that will show you the patterns, limits, and pitfalls of parallel and distributed algorithmic solutions and the associated synchronization mechanisms, without which you will hardly succeed in solving many of the more complex problems.
Statistics and probability is the right hand of every engineer to process numerical results of experiments or data obtained while running your application, analyze them and learn from them to make further decisions is almost his daily bread.
Theoretical Computer Science shows the limits of computer science capabilities through formal languages and mathematical models of computation. This is the only way to understand whether your problem is even solvable and, if so, with what resources and means to prove it.
Data Storage and Preparation, especially big data, and extracting knowledge from it is a valuable art to any computer scientist. It is a key aspect that strongly influences the effectiveness of many solutions and applications.
Artificial Intelligence and Machine Learning is a course where you will learn how to teach computers to understand our world and make them solve problems that are easy for humans but difficult for an algorithmic machine to handle.
They will pass on all their knowledge and hold you in difficult moments
Doc. Ing.
Martínek Tomáš
Ph.D.
He teaches the Master's course Bioinformatics, which introduces basic methods and algorithms for analysing biological data, usually in the form of DNA molecules and proteins. It focuses on the development of new tools in genomics and proteomics.
Prof. Ing.
Sekanina Lukáš
Ph.D.
He lectures on Computer Systems Design (how it works and how to build a processor) and a master's course Bio-Inspired Computers. It deals with the use of biology-inspired artificial intelligence for the design and optimization of software and hardware. He leads the Evolvable hardware research group at FIT.
Doc. Ing.
Zbořil František V.
CSc.
He has been dealing with artificial intelligence for more than 30 years and he is a pioneer of this discipline at FIT. Currently he teaches the Fundamentals of Artificial Intelligence, Soft Computing and Intelligent Systems courses. He is the guarantor of the field/specialization Intelligent Systems and he leads the research group of the same name.
