COURSE UNIT TITLE

: ENERGY, CONSTRUCTION AND INFORMATION TECHNOLOGIES IN SMART BUILDINGS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MIM 2623 ENERGY, CONSTRUCTION AND INFORMATION TECHNOLOGIES IN SMART BUILDINGS ELECTIVE 2 0 0 3

Offered By

Architecture

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR AYÇA TOKUÇ

Offered to

Architecture

Course Objective

This course aims to introduce the smart building concept in architecture and to further the integration of smart building technologies into architectural design methodologies within the understanding of this concept.

Learning Outcomes of the Course Unit

1   To recognise the concept of smart building.
2   To identify the principles of smart building design.
3   To categorize various types of smart building technologies.
4   To discuss the relationship between smart buildings and technology.
5   To discuss the smart buildings of the future.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to the course, aims and methods Readings will be given
2 Main concepts and historical framework on being smart in architecture Readings will be given
3 Smart in heating and cooling 3.1. Thermal comfort 3.2. Passive design 3.3 Active design 3.4. Discussion Readings will be given
4 Smart in ventilation 4.1. Natural ventilation 4.2. Artificial ventilation 4.3. Discussion Readings will be given
5 Smart in lighting 5.1. Natural lighting 5.2. Artificial lighting 5.3. Discussion Readings will be given
6 Smart in Energy 6.1. Renewable energy resources 6.2 Smart grid 6.3. Discussion Readings will be given
7 MID-TERM EXAM Assignment theme will be finalized
8 Smart in management 8.1. Sensors 8.2. Calculations 8.3 Interface 8.4 Management protocols 8.5 Discussion Readings will be given
9 Smart in design 9.1. Structural system 9.2. Spaces 9.3. Intelligent designs 9.4. Discussion
10 Themed student presentations and discussion
11 Themed student presentations and discussion
12 Themed student presentations and discussion
13 Themed student presentations and discussion
14 Themed student presentations and discussion

Recomended or Required Reading

Main Sources:
Tokuç, A., Köktürk, G., 2015, Geleceğin Akıllı Evleri: Avrupa Güneş Dekatlonu 2014 Örneği, III. Yapı Elektronik Sistemleri Sempozyumu Bildiriler Kitabı, 15-19.

Supplementary Books:
Günaydın, H.M., Zağpus, S., 2003, Türkiye de Bina Otomasyon Sistemlerinin Mimarlar Tarafından Algılanması Akıllı Bina Tasarım Süreci ve Kalitesi, VI. Ulusal Tesisat Mühendisliği Kongresi ve Sergisi Bildiriler Kitabı, 481-491.
Tokuç, A., Yıldızber, Z.E., 2009, Enerji Etkin Konut Tasarımında Tesisat Bileşenleri ile Birlikte Kullanılabilecek Yapı Elemanlarının Araştırılması, DEÜ Mühendislik Bilimleri Dergisi, 11 (32), 31-42.
Bulgurcu, H., 2005, Iklimlendirme ve Soğutma Sistemlerinde Otomatik Kontrol, doğa yayıncılık, 312.
Uzunali, A., 2003, Akıllı Evler Düşünceli midir , Karadeniz Teknik Üniversitesi Fen Bilimleri Enstitüsü, Yayınlanmamış Yüksek Lisans Tezi, 124.

Planned Learning Activities and Teaching Methods

Lecture, discussion, individual assignments and presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 MTEG MIDTERM GRADE MTE * 0.50 + ASG * 0.50
4 FINS FINAL EXAM
5 FCG FINAL COURSE GRADE MTEG * 0.50 + FINS * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.50 + RST * 0.50


Further Notes About Assessment Methods

At 6th week, an assignment will be given. During 10th to 14th weeks the assignment will be presented in class. It will be worth 25 % of the overall grade of the students, with 15% from the presentation and 10% from the report on the topic.

Assessment Criteria

Mid-term Exam % 25 (LO1, LO2, LO3)
Assignment/Presentation % 25 (LO1, LO2, LO3, LO4, LO5)
Final Exam % 50 (LO1, LO2, LO3, LO4, LO5)

Language of Instruction

Turkish

Course Policies and Rules

1. Students are expected to attend a minimum of 70% of the class.
2. Students are expected to attend the class fully prepared to discuss the subjects and other related material.
3. Late submissions will be subject to a different evaluation.
4. All kinds of plagiarism will result in a disciplinary action.
5. Instructor might do quiz or exercises in the term. Their marks will be considered in the assignment and participation notes.

Contact Details for the Lecturer(s)

ayca.tokuc@deu.edu.tr

Office Hours

Tuesdays 13:30-16:30.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 8 2 16
Preparations before/after weekly lectures 7 1 7
Preparation for midterm exam 1 6 6
Preparation for final exam 1 10 10
Preparing assignments 1 16 16
Preparing presentations 1 6 6
Final 1 2 2
Midterm 1 2 2
Project Assignment 5 2 10
TOTAL WORKLOAD (hours) 75

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17
LO.155
LO.255
LO.355
LO.455
LO.555