general overhaul, better images, better texts

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2024-02-05 23:16:26 +01:00
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82 changed files with 149 additions and 188 deletions

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teaser: assets/images/teaching/computer_gear.png
---
![logo](\assets\images\teaching\computer_gear.png){: .align-left style="padding:0.1em; width:5em"}In the semesters listed below, my job was to assist in organiszing this bachelors lecture of about 600 students.
We had a team of 10-12 tutors that were employed to balance the workload.
Also, we created each weeks graded exercise sheets as well as the written exam and organized it.
![logo](\assets\images\teaching\computer_gear.png){: .align-left style="padding:0.1em; width:5em"}
During my tenure as a Ph.D. student, I was involved in organizing a bachelor's lecture titled "Rechnerarchitektur" with approximately 600 students per semester.
My responsibilities encompassed managing a team of 10-12 tutors to distribute the workload evenly, designing weekly graded exercise sheets, and overseeing the written examination process. The curriculum introduced students to the fundamental concepts of computer science and architecture, covering a wide range of topics from data representation to the intricacies of machine and assembly language programming, under the leadership of Prof. Dr. Linnhoff-Popien.
### Contents
<div class="table-right">
| [Summer semester 2019](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/rechnerarchitektur-sose19/)| [Summer semester 2018](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/rechnerarchitektur-sose18/)|
</div>This lecture provided an introduction to the technical foundations of computer science and the architecture of computers.
Topics introduced in the lecture include representation of information in computers, classical components of a computer, arithmetic in computers, logical design of computers, switching circuits, representation of memory contents, primary and secondary memories, input and output, and pipelining.
More concrete:
</div>
- Representation as bits: (numbers, text, images, audio, video, programs).
- Storage and Transfer of data, error detection and correction
@@ -30,5 +28,3 @@ More concrete:
- Machine model
- Machine and assembly language programming
- Introduction to Quantum Computing
This lecture was held by Prof. Dr. Linnhoff-Popien titled "Rechnerarchitektur" at [https://www.mobile.ifi.lmu.de/](LMU).

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![logo](\assets\images\teaching\server.png){: .align-left style="padding:0.1em; width:5em"}
In the context of the lecture [Internet of Things (IoT)](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/iot-ws1819/), my task was to come up with a practical exercise which could be implemented in the scope of 1-2 classes. We went with a typical [MQQT](https://mqtt.org/) based communication approach, which incooperated an [InfluxDB](https://www.influxdata.com/) backend, while simulating some high frequency sensors.
The task was to implement this all from scratch in [Python](https://www.python.org/), which was tought in seperate [lecture](/teaching/python).
The task was to implement this all from scratch in [Python](https://www.python.org/), which was tought in seperate [lecture](/teaching/Python/).
![IOT Influx Pipeline](\assets\figures\iot_inflex_pipeline.png){:style="display:block; margin-left:auto; margin-right:auto; padding: 2em;"}
This practical course was held in front of about 200 students in winter 2018.
### Contents
The general topics of the lecture included: **1)** Arduino and Raspberry Pi, **2)** Wearables and ubiquitous computing, **3)** Metaheuristics for optimization problems, **4)** Edge/fog/cloud computing and storage, **5)** Scalable algorithms and approaches, **6)** Spatial data mining, **7)** Information retrieval and mining, **8)** Blockchain and digital consensus, **9)** Combinatorial optimization in practice, **10)** Predictive maintenance systems, **11)** Smart IoT applications, **12)** Cyber security & **13)** Web of Things
- Arduino and Raspberry Pi
- Wearables and ubiquitous computing
- Metaheuristics for optimization problems
- Edge/fog/cloud computing and storage,
- Scalable algorithms and approaches
- Spatial data mining,
- Information retrieval and mining
- Blockchain and digital consensus
- Combinatorial optimization in practice
- Predictive maintenance systems
- Smart IoT applications
- Cyber security
- Web of Things

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---
![logo](\assets\images\teaching\py.png){: .align-left style="padding:0.1em; width:5em"}
The "Python 101"-Lecture was held within the context of the [IOT](/teaching/IOT/) lecture, held in winter semester 2018.
Over the course of four classes, we tought an extensive introduction to the [`Python`](https://www.python.org/) programming language.
Not only was the cource slides developed by me and my collegue, we also shared the lectures in front of about 200 students.
During the winter semester of 2018, as part of the [IOT](/teaching/IOT/) lecture series, we conducted a "Python 101" course. This extensive introduction to [`Python`](https://www.python.org/), which I co-developed and co-taught, spanned four classes and reached approximately 200 students.
There was also a practical part of the course, which allowed students to the practical acquisition of programming skills in the `Python` programming language.
In addition to theoretical lessons, we incorporated a practical component to enhance students' programming skills in Python.

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teaser: assets/images/teaching/computer_os.png
---
![logo](\assets\images\teaching\computer_os.png){: .align-left style="padding:0.1em; width:5em"}In the semesters listed below, my job was to assist in organiszing this bachelors lecture of about 300-400 students.
We had a team of 10-12 tutors that were employed to balance the workload.
Also, we created each weeks graded exercise sheets as well as the written exam and organized it.
![logo](\assets\images\teaching\computer_os.png){: .align-left style="padding:0.1em; width:5em"}In the semesters listed below, I assisted in organizing the "Operating Systems" lecture for 300-400 students, coordinating with a team of 10-12 tutors to manage workload.
### Content
@@ -18,11 +16,4 @@ Also, we created each weeks graded exercise sheets as well as the written exam a
| [Winter semester 2019](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/bs-ws1920/)|
| [Summer semester 2018](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/bs-ws1819/)|
</div>The lecture `Operating Systems` was a continuation of the lecture [`Computer Architecture`](teaching/computer_achitecture/) held in the summer semester.
The focus of the lecture lay on presenting the concepts of system programming.
This included the programming of the operating system and of service programs such as editors, compilers and interpreters.
The lecture provided an overview of the main tasks and problem around operating system, with particular emphasis on the areas of synchronization, process communication, kernel and memory management.
Java (in particular the Thread API) was used to teach the practical implementation of the concepts introduced in the lecture in the practical exercises.
At the end of the lecture, the architecture of distributed systems, cross-computer communication and remote procedure calls was discussed, also.
This lecture was held by Prof. Dr. Linnhoff-Popien titled `Betriebssysteme` at [LMU](https://www.mobile.ifi.lmu.de/).
</div>We developed weekly graded exercises and exams. This lecture, a continuation of [`Computer Architecture`](teaching/computer_achitecture/) focused on system programming concepts like OS programming, synchronization, process communication, and memory management. Practical exercises used Java, particularly the Thread API, and the course concluded with distributed systems architecture. Taught by Prof. Dr. Linnhoff-Popien at [LMU Munich](https://www.mobile.ifi.lmu.de/).

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---
![logo](\assets\images\teaching\ios.png){: .align-left style="padding:0.1em; width:5em"}
One semester and with the experience in [android app developement](teaching/android), I stepped in to support my collegue in teaching mobile app developement at LMU.
The lab was divided into two phases:
**1)** In the introductory phase, the theoretical basics were taught in a weekly preliminary meeting, in addition to practical timeslots.
**2)** During the project phase, students then worked independently in groups on their own projects.
There were individual appointments with the project groups to discuss the respective status of the project work.
Leveraging my [android app developement](/teaching/android) experience, I contributed to teaching a mobile app development lab at LMU, focusing on iOS programming with Swift.
The course had an introductory phase for theoretical basics and practical sessions, followed by a project phase where students worked in groups on their projects, with individual guidance provided.
Specifically, the practical course provided an introduction to programming for the Apple iOS operating system.
The focus was on programming with Swift and an introduction to specific concepts of programming on mobile devices.
@@ -26,4 +23,4 @@ The focus was on programming with Swift and an introduction to specific concepts
- Teamwork and planning of timed projects
- Agile feature developement and tools
IOS app developement was tought as `Praktikum Mobile und Verteilte Systeme (MSP)`
This IOS app developement seminar was named `IOS Praktikum (IOS)`

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---
![logo](\assets\images\teaching\android.png){: .align-left style="padding:0.1em; width:5em"}
Over the course of several semesters me and my collegues tought mobile app developement at [LMU](https://www.mobile.ifi.lmu.de/).
The lab was divided into two phases:
**1)** In the introductory phase, the theoretical basics were taught in a weekly preliminary meeting, in addition to practical timeslots.
**2)** During the project phase, students then worked independently in groups on their own projects.
There were individual appointments with the project groups to discuss the respective status of the project work.
Over multiple semesters, my colleagues and I taught mobile app development at LMU.
The course was structured into two phases:
an introductory phase covering theoretical basics and practical skills, followed by a project phase where students worked in groups on their projects, receiving individual guidance.
### Content
@@ -35,6 +33,4 @@ There were individual appointments with the project groups to discuss the respec
- Teamwork and planning of timed projects
- Agile feature developement and tools
&nbsp;
This course was held as `Praktikum Mobile und Verteilte Systeme (MSP)`

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---
![logo](\assets\images\teaching\thesis.png){: .align-left style="padding:0.1em; width:5em"}
This seminar deals with selected topics from the field of mobile and distributed systems, in particular from the main research areas of the chair. In recent semesters, this has led to a focus on topics from the field of machine learning and quantum computing.
The seminar focuses on mobile and distributed systems, with recent iterations emphasizing machine learning and quantum computing, reflecting the chair's main research areas.
### Content
@@ -21,6 +21,6 @@ This seminar deals with selected topics from the field of mobile and distributed
| [2021](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/seminar-trends-in-mobilen-und-verteilten-systemen-sose21/)| [2021](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/seminar-vertiefte-themen-in-mobilen-und-verteilten-systemen-ws2122-2/) |
| --- |[2020](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/seminar-trends-in-mobilen-und-verteilten-systemen-wise2021/)|
</div>One aim of the seminar is also to learn and practise scientific working techniques. To this end, a course on presentation and working techniques is offered during the semester and supplemented by individual presentation coaching/feedback.
</div>The seminar aims to enhance scientific working techniques through a dedicated course on presentation and working methods, complemented by individual presentation coaching and feedback.
The final grade for the seminar is based on the quality of the academic work, the presentation and active participation in the seminars.
The final grade reflects the quality of academic work, presentation skills, and active seminar participation.

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---
![logo](\assets\images\teaching\thesis_master.png){: .align-left style="padding:0.1em; width:5em"}
This seminar deals with selected topics from the field of mobile and distributed systems, in particular from the main research topics of the chair.
In recent semesters, this has led to a focus on topics from the field of machine learning and quantum computing.
The seminar explores topics in mobile and distributed systems, especially those aligning with the chair's research interests, recently emphasizing machine learning and quantum computing.
### Content
<div class="table-right">
@@ -21,6 +20,4 @@ In recent semesters, this has led to a focus on topics from the field of machine
| [2021](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/seminar-vertiefte-themen-in-mobilen-und-verteilten-systemen-sose21/)| [2021](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/seminar-vertiefte-themen-in-mobilen-und-verteilten-systemen-ws2122/) |
| --- |[2020](https://www.mobile.ifi.lmu.de/lehrveranstaltungen/seminar-vertiefte-themen-in-mobilen-und-verteilten-systemen-ws2021/)|
</div>One aim of the seminar is also to learn and practise scientific working techniques. To this end, a course on presentation and working techniques is offered during the semester and supplemented by individual presentation coaching/feedback.
The final grade for the seminar is based on the quality of the academic work, the presentation and active participation in the seminars.
</div>The seminar aims to teach and practice scientific working techniques, offering a course on presentation and working methods plus individual coaching. Grades are based on academic work, presentation quality, and seminar participation.