LEARNING OUTCOMES
- Develop cutting-edge automation competences: the programme boasts theoretical skills and practical expertise at the interconnection between communications and data science
- Learn how to transition towards security and privacy by integrating it into the design of all types of networks, specially in IoT applications
- Command the managing tools in distributed computer networks commonly deployed in IoT
- Collect, communicate, coordinate, and leverage data from connected devices
- Use a broad range of structuring and analysis tools to extract meaning from patterns.
- Develop professional skills – project management, professional communications, and teamworking competences through practical experience in an international environment.
Credits: 3
Schedule: 21.08.2023 - 25.08.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Stephan Sigg
Contact information for the course (applies in this implementation):
Sigg Stephan <stephan.sigg@aalto.fi>
Sahar Golipoor <sahar.golipoor@aalto.fi>
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Introduction to Communications Engineering, Automation, Security, Embedded systems, Dependability, Data Science, Professional skills, and Project management training
Students will learn about:
- Emerging information technologies – the future in industry and society
- Emerging communication and network technologies
- Distributed computer networks
- Artificial intelligence in networking
applies in this implementation
Communication networks generate enormous amounts of data, both from their customers and their network operators, meaning artificial intelligence is increasingly dominating networking domains.
Customer data is related to their use of services and applications, and network data is gathered from intelligent devices (cellphones, smart appliances, IoT sensors, etc). Likewise, distributed systems have become the norm and are ubiquitously deployed through IoT.
Telecommunication operators and other big players in the industry are in great demand of experts in both telecommunications and data science who can also identify the weak security spots in many contemporary technologies.
This advanced course covers a range of timely, industry-relevant topics related mathematics, modelling and analysis of signals and systems, electronics, data science, artificial intelligence and machine learning, networks and network security, distributed systems, and the Internet of Things. Students will further acquire expertise in professional skills trainings.
Assessment Methods and Criteria
valid for whole curriculum period:
(project work 50%, examination 50%) and compulsory attendance (attendance list).
applies in this implementation
Grading scale: 0-5 (0 = fail, 1 = poor, 2 = satisfactory, 3 = good, 4 = very good, 5 = excellent)•Group Project: 40%•Peer assessment: 10%•Examination: 50%Compulsory attendance (attendance list, sickness exception sent by email).A passing grade must be achieved in ALL categories in order to pass this course. Only active students should be named in the report and presentations.
Workload
valid for whole curriculum period:
- Contact hours: 20h (2 x 90 min lectures for 5 days), 40 hours project work
- 21 hours independent work
DETAILS
Study Material
valid for whole curriculum period:
Provided by the teachers
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Details on the schedule
applies in this implementation
21st - 25th August 2023 in Campus, Undergraduate centre Otakaari 1
Monday 21st August room U115a
9:00 Welcome at the main entrance of Undergraduate centre Otakaari 1 (flag door, kandidaattikeskus)
9:15 -12.00 Communications Engineering lecture
13:00 -16:00 Data Science
16:00 -16:10 Course practicalities
Tuesday 22nd room U115a
9:00 – 10:30 Project management training
10:30-12:00 Projects and groups
13:00 – 14:30 Industrial expert talk
14:30-16:00 Project work
Wednesday 23rd U115a
9:00 – 12:00 Ambien intelligence
13:00 – 16:00 Cultural visit
Thursday 24th U115a
9:00-10:30 Edge computing, service placement in the edge, and energy-efficiency aspects of communication networks
10:30-12:00 IoT, embedded systems and microcontrollers.13:00 – 14:00 Professional Communications
14:30-16:00 Leadership and Change management
Friday 25th U115a
9:00 – 12:00 Digital health
13:00-14:30 Security
15:00 Evaluation
Week 28th Aug – 1st Sep: Online project work
Friday 1st Sep: Deadline for turning in Group project