Web Software ProductionLaajuus (5 cr)
Code: 5G00DM04
Credits
5 op
Objectives
The student knows the full process of development for web applications from code to distribution. The student is able to setup a development environment using Docker. The student is able to setup and configure all stages of DevOps.
Content
DevOps Web development methods and practises with a Web Software project. Version control, Docker, Testing automation, CI/CD Pipeline, deployment process.
Prerequisites
Basic of Web Development
Assessment criteria, satisfactory (1-2)
Student knows about DevOps web development methods and practises in a web software project. Student can use version control in the project. Student is able to use Docker or some similar technology in the project with guidance. Student is able to configure testing automation setup for the project with guidance. Student is able to implement a simple CI/CD Pipeline for the project. Student is able to configure a simple deployment process for the project.
Assessment criteria, good (3-4)
Student knows and understands DevOps web development methods and practises in a web software project. Student can exploit version control in the project. Student is able to use independently Docker or some similar technology in the project. Student is able to build testing automation setup for the project. Student is able to implement CI/CD Pipeline for the project. Student is able to configure deployment process for the project.
Assessment criteria, excellent (5)
Student knows and understands in depth DevOps web development methods and practices in a web software project. Student can exploit version control diversely in the project. Student is able to use diversely Docker or some similar technology in the project. Student is able to build good testing automation for the project. Student is able to implement versatile CI/CD Pipeline for the project. Student is able to configure complete deployment process for the project.
Enrolment period
15.07.2023 - 04.09.2023
Timing
28.08.2023 - 22.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
Software Engineering
Campus
TAMK Main Campus
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in Software Engineering
Teachers
- Louis Botha
Person in charge
Louis Botha
Groups
-
22I260EA
-
22I260EBDegree Programme in Software Engineering
Objectives (course unit)
The student knows the full process of development for web applications from code to distribution. The student is able to setup a development environment using Docker. The student is able to setup and configure all stages of DevOps.
Content (course unit)
DevOps Web development methods and practises with a Web Software project. Version control, Docker, Testing automation, CI/CD Pipeline, deployment process.
Prerequisites (course unit)
Basic of Web Development
Assessment criteria, satisfactory (1-2) (course unit)
Student knows about DevOps web development methods and practises in a web software project. Student can use version control in the project. Student is able to use Docker or some similar technology in the project with guidance. Student is able to configure testing automation setup for the project with guidance. Student is able to implement a simple CI/CD Pipeline for the project. Student is able to configure a simple deployment process for the project.
Assessment criteria, good (3-4) (course unit)
Student knows and understands DevOps web development methods and practises in a web software project. Student can exploit version control in the project. Student is able to use independently Docker or some similar technology in the project. Student is able to build testing automation setup for the project. Student is able to implement CI/CD Pipeline for the project. Student is able to configure deployment process for the project.
Assessment criteria, excellent (5) (course unit)
Student knows and understands in depth DevOps web development methods and practices in a web software project. Student can exploit version control diversely in the project. Student is able to use diversely Docker or some similar technology in the project. Student is able to build good testing automation for the project. Student is able to implement versatile CI/CD Pipeline for the project. Student is able to configure complete deployment process for the project.
Location and time
See course pages in Moodle.
Exam schedules
No exam. See evaluation criteria.
Assessment methods and criteria
Final grade is calculating by combining the exercises percentage (weighted 40%) and final project percentage (weighted 60%) and converting it according to the table below.
90% - 100% : 5
80% - 89% : 4
70% - 79% : 3
60% - 69% : 2
45% - 59% : 1
Exercises will have different points depending on the size of the exercise.
Final project is graded according to phases, each phase giving out varying amounts of “points” or “p”. Completing the practical work rewards a maximum of 50p.
Assessment scale
0-5
Teaching methods
Lectures, exercises and hands-on-lab work.
Learning materials
Web material provided / linked in Moodle.
Student workload
Lectures 45 hours..
Independent work including weekly assignments 90 hours..
Hours 135 hours.
Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Enrolment period
30.07.2022 - 28.08.2022
Timing
29.08.2022 - 16.12.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
ICT Engineering
Campus
TAMK Main Campus
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in Software Engineering
Teachers
- Louis Botha
Person in charge
Esa Kujansuu
Groups
-
21I260EA
Objectives (course unit)
The student knows the full process of development for web applications from code to distribution. The student is able to setup a development environment using Docker. The student is able to setup and configure all stages of DevOps.
Content (course unit)
DevOps Web development methods and practises with a Web Software project. Version control, Docker, Testing automation, CI/CD Pipeline, deployment process.
Prerequisites (course unit)
Basic of Web Development
Assessment criteria, satisfactory (1-2) (course unit)
Student knows about DevOps web development methods and practises in a web software project. Student can use version control in the project. Student is able to use Docker or some similar technology in the project with guidance. Student is able to configure testing automation setup for the project with guidance. Student is able to implement a simple CI/CD Pipeline for the project. Student is able to configure a simple deployment process for the project.
Assessment criteria, good (3-4) (course unit)
Student knows and understands DevOps web development methods and practises in a web software project. Student can exploit version control in the project. Student is able to use independently Docker or some similar technology in the project. Student is able to build testing automation setup for the project. Student is able to implement CI/CD Pipeline for the project. Student is able to configure deployment process for the project.
Assessment criteria, excellent (5) (course unit)
Student knows and understands in depth DevOps web development methods and practices in a web software project. Student can exploit version control diversely in the project. Student is able to use diversely Docker or some similar technology in the project. Student is able to build good testing automation for the project. Student is able to implement versatile CI/CD Pipeline for the project. Student is able to configure complete deployment process for the project.
Location and time
See course pages (Moodle)
Exam schedules
No exam. See evaluation criteria.
Assessment methods and criteria
Final grade is counted by combining the exercises percentage (making up 30%) and final project percentage (making up 70%).
90% - 100% : 5
78% - 89% : 4
67% - 78% : 3
56% - 67% : 2
45% - 56% : 1
Exercises will have different points depending on the size of the exercise.
A minimum of mark of 30% for the exercises is needed to pass the course.
Final project is graded according to phases, each phase giving out varying amounts of “points” or “p”. Completing the practical work rewards maximum of 50p.
A minimum of mark of 50% for the final project is needed to pass the course.
Assessment scale
0-5
Teaching methods
Lectures, exercises and hands-on-lab work.
Learning materials
Web material provided / linked in Moodle.
Student workload
Lectures 45 hours..
Independent work including weekly assignments 90 hours..
Hours 135 hours.
Completion alternatives
No alternate methods of completion.
Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Enrolment period
30.07.2022 - 28.08.2022
Timing
29.08.2022 - 16.12.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
ICT Engineering
Campus
TAMK Main Campus
Teaching languages
- English
Seats
0 - 50
Degree programmes
- Bachelor's Degree Programme in Software Engineering
Teachers
- Louis Botha
Person in charge
Esa Kujansuu
Groups
-
21I260EB
Objectives (course unit)
The student knows the full process of development for web applications from code to distribution. The student is able to setup a development environment using Docker. The student is able to setup and configure all stages of DevOps.
Content (course unit)
DevOps Web development methods and practises with a Web Software project. Version control, Docker, Testing automation, CI/CD Pipeline, deployment process.
Prerequisites (course unit)
Basic of Web Development
Assessment criteria, satisfactory (1-2) (course unit)
Student knows about DevOps web development methods and practises in a web software project. Student can use version control in the project. Student is able to use Docker or some similar technology in the project with guidance. Student is able to configure testing automation setup for the project with guidance. Student is able to implement a simple CI/CD Pipeline for the project. Student is able to configure a simple deployment process for the project.
Assessment criteria, good (3-4) (course unit)
Student knows and understands DevOps web development methods and practises in a web software project. Student can exploit version control in the project. Student is able to use independently Docker or some similar technology in the project. Student is able to build testing automation setup for the project. Student is able to implement CI/CD Pipeline for the project. Student is able to configure deployment process for the project.
Assessment criteria, excellent (5) (course unit)
Student knows and understands in depth DevOps web development methods and practices in a web software project. Student can exploit version control diversely in the project. Student is able to use diversely Docker or some similar technology in the project. Student is able to build good testing automation for the project. Student is able to implement versatile CI/CD Pipeline for the project. Student is able to configure complete deployment process for the project.
Location and time
See course pages in Moodle.
Exam schedules
No exam. See evaluation criteria.
Assessment methods and criteria
Final grade is counted by combining the exercises percentage (making up 30%) and final project percentage (making up 70%).
90% - 100% : 5
78% - 89% : 4
67% - 78% : 3
56% - 67% : 2
45% - 56% : 1
Exercises will have different points depending on the size of the exercise.
A minimum of mark of 30% for the exercises is needed to pass the course.
Final project is graded according to phases, each phase giving out varying amounts of “points” or “p”. Completing the practical work rewards maximum of 50p.
A minimum of mark of 50% for the final project is needed to pass the course.
Final project is graded according to phases, each giving out varying amounts of “points” or “p”. Completing the practical work rewards maximum of 50p.
A minimum of mark of 50% for the final project is needed to pass the course.
Assessment scale
0-5
Teaching methods
Lectures, exercises and hands-on-lab work.
Learning materials
Web material provided / linked in Moodle.
Student workload
Lectures 45 hours..
Independent work including weekly assignments 90 hours..
Hours 135 hours.
Completion alternatives
No alternate methods of completion.
Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).
Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)
Project and exercise evaluation criteria can be found in online course environment (Moodle).