Datacenter operations and management 4010-DAT-30
The classes enable the acquisition of IT and analytical competences.
1. Goals and fundamentals of a data center, lecture 2 h., lab. 2 h.
2. Power and continuous operation methods, lecture 2 h., lab. 2 h.
3. Cooling technologies, methods of heat management, lecture 2 h., lab. 3 h.
4. Redundant network topologies, lecture 4 h., lab. 2 h.
5. Data Center security and data storage methods, lecture 2 h., lab. 2 h.
6. Data Center Standards, Norms, Certifications and Audits, lecture 1 h., lab. 2 h.
7. Modern Data Center Market, lecture 2 h., lab. 2 h.
Prerequisites (description)
Course coordinators
Type of course
Mode
Learning outcomes
student knows:
- key datacenter objectives,
- W1 - advanced methods of design and analysis of basic systems within a datacenter [K_W02]
- W2 - how algorithms used in key areas of datacenter management work [K_W03]
- W3 - methods of statistical data analysis [K_W04]
- W4 - at least one programming language, its libraries and data structures [K_W05]
- W5 - about current trends and latest solutions in the areas of network technologies, power, cooling and computer architectures [K_W07]
- W6 - in depth about usage of numerical computations in chosen discipline ( chemical, biological, engineering, environmental modeling, medical) [K_W08]
student can:
- asses the datacenter usefulness for implementing a business usecase
- identify key systems within a datacenter
- U1 - identify further areas to learn about and self-educate [K_U07]
- U2 - make use of latest techniques to communicate [K_U09[
- U3 - plan and write system specification for ordering datacenter solutions [K_U10]
- U4 - perform calculations crucial for specification of functional and performance requirements,
- U5 - asses the usability of new hardware and software solutions used for computation for chosen discipline [K_U13]
- U6 - list health and safety requirements for the profession of IT personnel [K_U14]
- U7 - perform basic economical analysis of hardware and software solutions [K_U15]
- U8 - analize a problem and choose algorithms and computational methods useful for solving it [K_U17]
- U9 - design and analyze distributed algorithms. Student can explain their correctness and analyze their complexity [K_U18]
- U10 - understand the impact of computer architecture has on different methods of algorithms implementation when specifying solutions [K_U20]
student is ready to:
- K1 - work within a team of datacenter specialists; strives to achieve team goals by appropriately planning and organizing his/her own and others' work [K_K02]
- K2 - identify issues, fix them or create new solutions for datacenters [K_K03]
- K3 - work on his own with large volumes of data; notice relations and draw conclusions using logical thinking [K_K04]
- K4 - aims for the best possible solution for given task; pays attention to detail [K_K05]
- K5 - continuously expands his knowledge and self-educates in order to further is excellence [K_K07]
- K6 - abide by norms and standards functioning in the IT personnel field; follows ethical standards; understands impact the profession has on the society [K_K10]
Assessment criteria
Students receive credit for the course based on:
- independent completion of a project during the semester (designing a specification for a computing system for a data center), submitted no later than the end of classes in a given semester,
- exam.
NOTE
1. A sick leave does not exempt students from knowledge of the material. It only entitles them to an individualized form of assessment.
2. Students who have received approval for an individualized study plan are required to contact the course coordinator to discuss how to achieve all the learning outcomes assigned to the course. If the above-mentioned outcomes cannot be achieved, the coordinator may refuse to grant credit for the course.
3. Attendance is mandatory. In cases of justified absence, the student is required to contact the course coordinator immediately.
Practical placement
Not applicable.
Bibliography
1. Osiowski J., Szabatin J.: Podstawy teorii obwodów, tom 1-3, WNT, Warszawa 2006.
2. Hwaiyu Geng P.E.,: Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center, John Wiley & Sons, Inc., 2021
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: