EPN-V2

PENG9620 Smart cities for a Sustainable Energy Future - From Design to Practice Course description

Course name in Norwegian
Smart cities for a Sustainable Energy Future - From Design to Practice
Study programme
PhD Programme in Engineering Science
Weight
5.0 ECTS
Year of study
2022/2023
Course history

Introduction

Knowledge of pathology, diagnostics and treatment is crucial to radiography practice and necessary to be able to meet the needs of the patient in a satisfactory manner. Nuclear medicine and mammography are used for diagnostic imaging, while interventional radiography and radiation therapy are used in treatment and therapy. The introduction of new examinations and treatment methods bring new tasks and areas of responsibility for radiographers. The course provides an introduction to pathological conditions and diseases that are important in diagnostic and therapeutic examinations.

Recommended preliminary courses

Bachelor's or master's degree in engineering or science.

Required preliminary courses

Passed first year of the programme or equivalent

Learning outcomes

Knowledge

On successful completion of the course, the student:

  • is at the forefront of knowledge about smart energy systems, both at the system level and at the specific component/application level.
  • understands what different technologies can be used at what level in energy generation, transmission, distribution and consumption networks.
  • knows about communication technologies and their performance limits for enabling energy intelligence in smart energy systems.

Skills

On successful completion of the course, the student can:

  • solve resource optimisation problems for the energy information network.
  • apply optimisation techniques and machine learning-based approaches for residential demand response management and vehicle-to-grid.

General competence

On successful completion of the course, the student can:

  • communicate and collaborate with experts from other disciplines on larger interdisciplinary and multidisciplinary research projects.
  • Recognise and assess a project's potential and value
  • participate in debates and communicate results through recognised international channels, such as academic conferences.
  • can construct and develop relevant models and discuss the model's validity.
  • Disseminate knowledge to broader audiences

Content

The course is divided into three modules.

The first module covers lectures on economic interactions for the energy market, focusing mainly on applications such as demand response management (DRM), and vehicle-to-grid (V2G), etc.

The second module consists of lectures on current and emerging approaches such as machine learning and blockchain for energy intelligence and network security.

The third module will be a seminar which will include a hands-on session on tools such as optimisation and machine learning for solving specific problems in future energy information networks, and will conclude with a project assignment to be submitted by a given deadline.

Teaching and learning methods

After completing the course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:;

Knowledge;

The student can

  • explain the aetiology, symptoms, diagnosis and treatment of diseases of the digestive and circulatory systems, the central nervous system, the kidneys and the urinary tract, and endocrine and age-related disorders
  • explain the aetiology, epidemiology, symptoms, diagnosis and treatment and prognosis of the most common forms of cancer
  • describe symptoms and treatment of mental disorders such as psychosis and neurosis
  • explain procedures for subcutaneous and intramuscular injections and for insertion of peripheral venous catheter (PVC)
  • explain guidelines for sterile procedures
  • explain the construction, function and use of mammography, nuclear medicine, interventional radiography and radiation therapy equipment
  • explain radiation dose levels, radiation protection and patient care for the modalities in question
  • explain principles of radiation biology, effects and the most common treatment-related side effects of radiation therapy
  • explain physical principles of nuclear medicine and the production, preparation, administration and waste management of radionuclides/radiopharmaceuticals
  • describe structure and enhancement in nuclear medicine images
  • describe general principles for screening, including sensitivity and specificity
  • describe procedures for quality control and documentation for mammography, nuclear medicine, interventional radiography and radiation therapy
  • explain radiation and radiation protection in relation to human beings and the environment

Skills;

The student can

  • prepare simple examinations or treatments under supervision
  • ;assess imaging criteria in mammography;
  • calculate skin dose on the basis of airkerma (AK) and dose area product (DAP)

General competence;;

The student can

  • assess how different pathological conditions and indications determine the choice of diagnostic and therapeutic examinations in relation to nuclear medicine, mammography, interventional radiography and radiation therapy ;

Course requirements

The work and teaching methods include flipped classroom, lectures, seminars, skills training and self-study. In seminars, the students work in groups. This course uses digital learning resources in the form of video lectures, digital tests and exercises.

Assessment

The following must have been approved in order for the student to take the exam:;

  • a minimum attendance of 80 % at scheduled seminars and skills training sessions
  • individual multiple choice test in accordance with set criteria, up to 2 hours
  • project assignment in groups of 2-4 students in accordance with set criteria

Permitted exam materials and equipment

Individual written home exam over three days, up to 3,000 words.

Resit assessment/exam: Students who are awarded the grade F on the home exam have the right to submit a reworked version once.

Grading scale

All aids are permitted, as long as the rules for source referencing are complied with.

Examiners

Grade scale A-F