Rajaa hakua
Piilota rajaukset
5051252-3005
All administrative information will be in Peppi platform.
All infos will be in Itslearning platform.
TT00CN68-3004
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.
TT00CN70-3005
Itslearning and contact classes are the main communication channels used on this course.
The student is required to have a computer capable of running a simple Ubuntu virtual machine and basic skills to work with Ubuntu command line.
TE00BM91-3008
Opinnäytetyöllä on oppimisympäristössä (ITS) oma ympäristö: ICT Opinnäytetyöt - Thesis work), jossa työskentelyyn liittyvät ohjeet.
Lisäksi Teams, jossa pidetään opinnäytetyöseminaarit.
Pääsyvaatimukset kurssille:
- Opiskelija opiskellut osaamispolussa vähintään vuoden ajan (30 op)
- Opiskelija ilmoittautunut kurssille Tutkimusviestintä (pakollinen opinto) TAI on muuta kautta saanut osaamisen liittyen opinnäytetyön kirjoittamiseen
5000BL68-3012
Opintojakso pidetään etänä, linkki on Itslearningissa.
Opintojaksossa on suomenkielinen ja englanninkielinen rinnakkaistoteutus.