Rajaa hakua
Piilota rajaukset
TH00BP35-3006
YAMK - opintoja, ei sovellu AMK - opintoihin. Avoin AMK maksimi: viisi opiskelijaa.
TE00CS66-3001
ITS, Teams and Trello.
Additionally, ViLLE is used to follow-up of participation, time reporting, and for project team peer reviews, and for the SCRUM tutorial.
TH00BP99-3008
YAMK-opintoja, ei sovellu AMK-opintoihin. Avoimesta AMK:sta max. 3 opiskelijaa mukaan, jotka ovat jo suorittaneet Health Promotion Management - opintojakson. Health Promotion Management opintojakso tulee olla ensin suoritettuna.
TE00CU41-3001
Viestintä opettajalta oppilaille tapahtuu itslearningin ilmoitusten kautta.
Opiskelijoiden toivotaan ottavan yhteyttä opettajaan sähköpostilla.
TE00CM20-3003
The teacher will inform about the course practicalities in itslearning.
If you have any questions about the course, please contact the course teachers by email.
Enroll to course in Peppi. When your enrollment is accepted, you'll get access to course's itslearning (within a day or two after enrollment acceptance).
TH00BP98-3007
YAMK-opintoja, ei sovellu AMK-opintoihin. YAMK maks. 3 opiskelijaa.
TH00BQ32-3004
Opintojaksolle voidaan ottaa 5 avoimen amk:n opiskelijaa.
TT00CD87-3002
Course material and assignments in Its Learning and AWS academy.
TH00BQ31-3004
Opintojakso tarjotaan myös avoimeen amk-tarjontaan, 5 opiskelijaa voidaan ottaa sitä kautta opintojaksolle.
TT00CN68-3003
Qualifications:
Before taking an "Introduction to Data Engineering with Python" course, students typically need a foundational understanding of several key areas. Here are the mandatory and recommended prerequisite courses and topics.
1. Mandatory Prerequisites:
1.1. Programming:
1.1.1. Introduction to Programming: Knowledge of programming fundamentals,
including concepts like variables, loops, conditionals, and functions.
1.1.2. Python Programming: Familiarity with Python, including basic syntax, data
types, control structures, and function and modules
1.1.3. Error Handling
1.1.4. Object-oriented programming (OOP)
1.1.5. Data Manipulation: Skills in using Pandas library including DataFrames and
Series, reading, writing, filtering, and transforming data
1.2. Databases: Knowledge of how databases work, including concepts like tables, keys, normalization, and indexing.
2. Recommended Topics:
2.1. Algorithms and Data Structures: Basic understanding of algorithms and data
structures such as arrays, lists, trees, and graphs, which are crucial for data
processing
2.2. Having the fundamental knowledge of cloud services or passing the Cloud Services
Course in TUAS (Lecturer: Ali Khan)
2.3. Version Control Systems: Basic understanding of tools like Git for version control.
2.4. Basic Algebra and Calculus: Fundamental math skills to handle data transformations
and calculations.
2.5. Statistics: Understanding of basic statistical concepts like mean, median, standard
deviation, and probability distributions.+
TE00BR86-3004
** Prerequisites for Back- End Development Course:
1- JavaScript: Basic Syntax and Control Structures, Functions and Scope, Asynchronous Programming
2- Databases
** Recommendations (Optional but Beneficial):
1- Basic Understanding of RESTful APIs: Knowledge of HTTP methods (GET, POST, PUT, DELETE) and status codes.
2- Experience with JSON: Understanding of JSON format for data interchange.
3- Basic Knowledge of Git: Familiarity with version control using Git.
TH00BP36-3006
YAMK - opintoja, ei sovellu AMK - opintoihin. Avoin AMK maksimi: 5 opiskelijaa.
Opintojakso sopii myös vapaasti valittavaksi opinnoksi. Toteutukseen hyväksytään ensisijaisesti ne opiskelijat, joiden ops:ssa opintojakso on. Yli jääneet paikat täytetään ilmoittautumisjärjestyksessä. Saat tiedon hyväksymisestä Pepin kautta ilmoittautumisajan päätyttyä.
TE00BR84-3004
An oral communication is used during the classes. For the written communication Itslearning and e-mail are applied.