IN9031 – Protocols and AI for Future Internet
Course description
Course content
In this course you will meet distinguished speakers from industry and universities to give the lectures, where the following topics are taught: Basic optical communication, Cross-domain real-time systems, IP router architecture, Generative-AI, AI Agents, AI/ML-based Big Data Management & Analytics, incl. Cloud solutions, Cybersecurity and AI-based malware analysis, Internet of Things (IoT), IPv6 - future Internet, Basic Wi-Fi technology, Multicast communication, Content delivery networks, and Quality of Service in the Internet.
Learning outcome
This course focuses on building advanced knowledge, hands-on skills, and critical awareness in communication networks, AI/ML technologies and applications, and Future Internet infrastructures.
After taking IN9031, you will be able to:
- Critically evaluate?state-of-the-art and emerging communication solutions (optical, wireless, IoT, IPv6, Wi-Fi, multicast) and?formulate?network architectures ensuring QoS;
- Analyze and mitigate?cross-domain real-time systems’ vulnerabilities and?how to?apply?secure communication protocols against cyber threats and malware;
- Explain and evaluate?different?high-performance IP router designs and content delivery systems for large-scale data traffic;
- Have an overview of the current research trends in Generative AI-models and their applications in traffic control, classification, privacy protection;
- Integrate and make use of?AI/ML and generative AI agents for traffic control, classification, privacy protection, and security monitoring;
- Apply and optimize?AI/ML-based Big Data management, analytics, and cloud solutions for large-scale networked systems;
- Model and understand?IoT-enabled infrastructures (smart cities, smart grids, energy trading) and?validate?their scalability and efficiency;
- Synthesize and evaluate?next-generation Internet solutions, including IPv6, content delivery networks, and future-oriented architectures used in industry;
PhD students will acquire an even more in depth knowledge within a given scientific field compare to students taking IN5031, and would have to prove their in depth knowledge by giving a professional (trial) lecture.
Admission to the course
PhD candidates from the University of Oslo should apply for classes and register for examinations through?Studentweb. If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included.
PhD candidates who have been admitted to another higher education institution must?apply for a position as a visiting student?within a given deadline.
Recommended previous knowledge
It would be?advantageous to have basic network knowledge, such as from IN4230 – Computer Networks.
Overlapping courses
- 10 credits overlap with IN5031 – Protocols and AI for Future Internet.
- 8 credits overlap with IN5030 – Protocols and Routing in the Internet (continued).
- 8 credits overlap with IN9030 – Protocols and Routing in the Internet (continued).
- 8 credits overlap with INF5050 – Protocols and routing in the internet (continued).
- 8 credits overlap with INF9050 – Protocols and Routing in the Internet (continued).
Teaching
3 hours seminar each week. The students will themself present topics/articles during the first 2 hours. The last hour will be use to present next weeks topic. Which student that?ll present which topic will be determined as soon as possible after the start of the semester.
In addition, each PhD student will be given an extended curriculum within the field/research area of the course. The syllabus must be approved by the lecturer so that the student can be admitted to the final exam.
Attending the first lecture is mandatory.
Examination
Oral presentation contributes 20% towards the final grade, while an oral exam contributes 80%. All parts of the exam must be passed and this must be done during the same semester.
PhD-students will?also be given an extended curriculum within the field/research area of the course, and will have to give?a professional (trial) lecture as part of the course.
It will also be counted as one of?your three?attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN5031 – Protocols and AI for Future Internet,?IN5030 – Protocols and Routing in the Internet (continued),?IN9030 – Protocols and Routing in the Internet (continued), INF5050 – Protocols and routing in the internet (continued), INF9050 – Protocols and Routing in the Internet (continued)
Examination support material
No examination support material is allowed.
Language of examination
The examination text is given in Norwegian. If the course is taught in English, the examination text will only be given in English. You may answer in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about?the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are?offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.