Abbott/Slawney: Academic Skills EIT - SS 25
Kursthemen
-
Willkommen bei Academic Skills (EIT) für das SS 25.
Wir haben diesen Winter 2 Gruppen, eine unter der Leitung von Paul Abbott, eine unter der Leitung von James Slawney.
Der Dozent der Gruppe, der Sie angehören, korrigiert Ihre schriftliche Abschlussklausur, Ihr schriftlicher Bericht, und bewertet Ihre Präsentation.
Bitte machen Sie in der erste Woche den Einstufungstest in English, um herauszufinden, ob Sie das für den Studiengang erforderliche Englisch-Niveau haben.
Die maximale Punktzahl ist 70.
Wenn Sie weniger als 45 Punkte erreicht haben, sollten Sie dringend an der Verbesserung Ihrer Englisch-Kenntnisse arbeiten.
Das Fachspachenzentrum unterstützt Sie dabei gern! Sie können bei uns während des Semesters oder in der vorlesungsfreien Zeit kostenfrei Kurse besuchen.
Wir wünschen Ihnen ein erfolgreiches Studium und wir freuen uns auf Sie.
Best wishes,
James Slawney
-
-
Geöffnet: Samstag, 15. März 2025, 00:00Geschlossen: Mittwoch, 30. April 2025, 23:59
-
-
-
We will work through the exercises in Unit 1 (Technology in Use, pp. 6-13). The audio files and additional videos for these pages is uploaded or linked below.
-
WRITING ASSIGNMENT
Upload here a text of minimum 150 words discussing the main functions and applications of a product you are familiar with (for instance, a smart phone, a bicycle, a computer game, etc.).
This assignment does not count towards your module grade. It is meant as practice. Please do not use AI tools for it.
-
Geöffnet: Dienstag, 15. April 2025, 15:20Fällig: Dienstag, 29. April 2025, 15:20
-
Geöffnet: Donnerstag, 17. April 2025, 00:00Fällig: Donnerstag, 17. April 2025, 12:00
-
-
We will work through the exercises in Unit 3 (Components and Assemblies, pp. 22-29). The audio files and additional videos for these pages is uploaded or linked below.
-
Group Work / Case Study
Work in a group. Your group will be given a plug type. You need to meet and decide how to sell your plug type to a potential client. What are its advantages and strengths? Your ideas should be recorded on your group edupad. You will be asked to present these ideas in front of the class as a group.
An expert committee group will choose the winner of the sales contract based on what they hear.
-
-
We will work through the exercises in Unit 4 (Engineering Design, pp. 30-37).
-
-
-
We will work through the exercises in Unit 6 (Technical Development, pp. 46-53).
-
-
-
We will work through the exercises in Unit 8 (Monitoring and Control, pp. 62-69).
-
Case Study: Self-Driving Automobile Technology for Electrical Engineering Students
Introduction:
Self-driving automobiles, also known as autonomous vehicles (AVs), represent a revolutionary leap in transportation technology. These vehicles rely on a combination of sensors, artificial intelligence (AI), machine learning, and advanced electrical and electronic systems to navigate without human intervention. Electrical engineers play a crucial role in designing and optimizing the power systems, sensors, and embedded electronics that enable autonomous driving.
Background:
Autonomous vehicles operate using a combination of key technologies, including:
Sensor Systems: AVs utilize LiDAR, radar, ultrasonic sensors, and cameras to perceive their environment.
Embedded Systems: These vehicles rely on microcontrollers and field-programmable gate arrays (FPGAs) for real-time data processing.
Power Systems: Electric power distribution and battery management are crucial for sustaining long-duration operations.
Communication Networks: AVs use vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications to enhance safety and efficiency.
Levels of Self-Driving Vehicles:
Self-driving vehicles are categorized into six levels based on the SAE (Society of Automotive Engineers) standard:
Level 0 (No Automation): The human driver controls all aspects of driving, with no automated assistance beyond warnings (e.g., lane departure warnings).
Level 1 (Driver Assistance): Basic automation such as adaptive cruise control or lane-keeping assist, but the driver remains fully engaged.
Level 2 (Partial Automation): The vehicle can control steering, acceleration, and braking under certain conditions, but the driver must stay alert (e.g., Tesla Autopilot, GM Super Cruise).
Level 3 (Conditional Automation): The car can handle all driving tasks in specific scenarios (e.g., highway driving) but requires the driver to take over if needed.
Level 4 (High Automation): The vehicle can drive itself without human intervention in predefined areas (e.g., autonomous taxis in geofenced locations).
Level 5 (Full Automation): The car is fully autonomous and does not require human input, operating in all conditions where a human driver would.
Case Study: Tesla's Autopilot System
Tesla's Autopilot is an advanced driver-assistance system (ADAS) that exemplifies the practical application of self-driving technology. It integrates:
Neural Networks: AI models process data from cameras and sensors to make driving decisions.
Vision-Based Perception: Unlike some AVs that rely heavily on LiDAR, Tesla emphasizes camera-based object recognition.
Electrical System Architecture: A high-voltage electrical system supports sensor operation and vehicle performance.
Over-the-Air Updates: Tesla continuously refines its autonomous capabilities through wireless software updates.
Challenges and Future Prospects:
Power Efficiency: AVs require energy-efficient processing and battery optimization.
Sensor Fusion: Integrating data from multiple sensors is complex and requires advanced signal processing.
Safety and Regulations: Compliance with global safety standards and ethical considerations is a significant hurdle.
AI Decision-Making: Ensuring AI-driven decisions are safe and ethical in unpredictable environments.
Conclusion:
Self-driving automobile technology represents an interdisciplinary domain where electrical engineers contribute significantly. From designing energy-efficient power systems to enhancing sensor integration and real-time processing, electrical engineers drive the innovation in autonomous mobility. As research advances, AVs are expected to become safer, more efficient, and increasingly integrated into everyday transportation systems.
Group Discussion Questions:
What role do electrical engineers play in improving the reliability of AV power systems?
How does sensor fusion enhance the accuracy of autonomous driving systems?
What are the key challenges in ensuring AI-driven decision-making is both ethical and safe?
How can electrical engineering advancements contribute to reducing the energy consumption of AVs?
When do you estimate Tesla will reach Level 5 in its self-driving automation?
This case study provides an insightful perspective on the electrical engineering aspects of self-driving automobiles and encourages students to explore the future of this transformative technology.
-
-
-
We will work through the exercises in Unit 9 (Theory and Practice pp. 70-77).
-
-
-
We will work through the exercises in Unit 10 (Pushing the Boundaries, pp. 78-85).
-
Case Study: Renewable Energy Systems for Electrical Engineering Students
Introduction:
Renewable energy systems have become a crucial aspect of modern electrical engineering. These systems harness energy from naturally replenishing sources such as solar, wind, hydro, and biomass to generate electricity. Electrical engineers play a key role in designing, optimizing, and integrating renewable energy technologies into the power grid, ensuring efficiency, reliability, and sustainability.
Background:
Renewable energy systems rely on various technologies, including:
Solar Power Systems: Photovoltaic (PV) cells convert sunlight into electricity, with advancements in materials improving efficiency.
Wind Energy Systems: Wind turbines convert kinetic energy from wind into electrical power, requiring sophisticated control systems for optimal performance.
Hydropower Systems: Utilizing flowing water to generate electricity through turbines, hydropower remains a major renewable energy source.
Energy Storage Solutions: Battery and supercapacitor technologies store renewable energy for consistent power supply.
Smart Grids: Integrating renewable energy into the power grid with intelligent monitoring and control systems.
Case Study: Solar and Wind Hybrid Systems
One of the most effective approaches to renewable energy generation is the combination of solar and wind power. This hybrid system optimizes energy output by leveraging complementary generation patterns—solar power is maximized during daylight, while wind power can be available at night.
Energy Conversion: Solar panels and wind turbines generate DC electricity, which is converted into AC for grid integration.
Battery Storage: Energy storage units mitigate variability in energy production, ensuring a stable supply.
Power Electronics: Advanced inverters and controllers regulate energy distribution to maximize efficiency.
Grid Integration: Smart grid technology helps balance supply and demand by integrating multiple renewable sources.
Challenges and Future Prospects:
Energy Storage: Efficient and cost-effective storage solutions are needed to overcome the intermittency of renewable energy.
Grid Stability: Fluctuations in renewable power generation require robust grid management and forecasting techniques.
Material Innovations: Research into advanced materials can improve the efficiency and durability of solar panels and wind turbines.
Policy and Economics: Government incentives and policies play a crucial role in expanding renewable energy adoption.
Conclusion:
Renewable energy systems present an exciting field for electrical engineers, combining sustainability with innovation. Engineers contribute by enhancing system efficiency, developing energy storage solutions, and integrating renewables into the power grid. As technological advancements continue, renewable energy will play an increasingly vital role in meeting global energy demands.
Discussion Questions:
How can electrical engineers improve the efficiency of renewable energy conversion?
What are the biggest challenges in integrating renewable energy into existing power grids?
How does energy storage impact the reliability of renewable energy systems?
What role do smart grids play in optimizing renewable energy distribution?
This case study highlights the critical role of electrical engineers in advancing renewable energy systems and encourages students to explore innovations in sustainable power generation.
-
-
-
-
Geöffnet: Montag, 16. Dezember 2024, 13:00Geschlossen: Mittwoch, 5. Februar 2025, 00:00
Here you can sign-up for an appointment to give your presentation for "Academic Skills" in Cluster E (EIT, EEE, IST, EKT).
Topic: any topic of your choice in: 1.) engineering, 2.) IT, or 3.) business.
For this class, there will be fixed days on which you can give presentations at your class-time in the classroom we have used through the semester for presence classes. You should familiarize yourself with the campUAS material on presentation for practical tips. In addition, the CampUAS materials on giving a presentation have useful language frames for you to use.
Each day will only have a fixed amount of appointments for presentations each class day (12 a day for each class)--first come, first serve. The presentation counts 25% of your grade. It should be a minimum of 5 minutes long and not more than 10 Minutes long.
Days for presentations:
Abbott (PA), Tuesdays, 12.15-13.45 and 14.15-15.45, 17 June, 24 June, 1 July
Slawney (JS), Thursdays, 8.15-9.45 and 10.00-11.30, 19 June, 26 June, 3 July
Sign up below for your individual 15-minute appointment.
The campUAS upload platform for your slides is provided for your convenience as an alternative cloud storage space.
-
Fällig: Dienstag, 12. August 2025, 00:00
-
-
-
-
Below are PP slide shows from former students. Work in a group to list out all the strengths and weakness of these slide shows. You will be asked to share your results to the class later on. Use the EduPad (a web-based collaboration tool) to list out the strengths and weaknesses. You will show your EduPad as you present youre results.
-
-
Bitte klicken Sie zunächst auf die Aktivität Datenschutzerklärung und Einwilligung und lesen diese sorgfältig. Die im Kurs hinterlegten Lernpakete, die Sie zu den Online-Sprachkursen führen, erscheinen nur, wenn Sie der Datenschutzerklärung zustimmen. Weitere Informationen zu Speexx Campus finden Sie hier, bei Fragen und Problemen können Sie eine Nachricht an das Self-Access Center (Selbstlernzentrum für Sprachen) schreiben.
-
Englisch A1 Lernpaket
-
Englisch A2 Lernpaket
-
Englisch B1.1 Lernpaket
-
Englisch B1.2 Lernpaket