Behavioral Decision-Making Perspective in Business and Public PolicyLaajuus (5 cr)
Study unit code: A9534
Credits
5 op
Learning outcomes
The student is able to
- understand the role of heuristics and biases in everyday decision making
- explore the fields of behavioral economics and behavioral decision making
- identify and apply psychological factors in business and public policy applications
- evaluate development plans from behavioral perspective
- analyze ethical aspects of behavioral interventions and nudges
Enrollment
01.04.2024 - 07.04.2024
Timing
13.05.2024 - 31.08.2024
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
RDI proportion
2 op
Mode of delivery
Distance learning
Unit
Korkeakouluyksikkö D, Tikkurila, liko
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
20 - 50
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
Teachers
- Markus Kanerva
Teacher in charge
Markus Kanerva
Groups
-
TYJ23SJTäydentävä osaaminen (yamk-tutkinto), S23, yhteiset opinnot
-
CYJ23SJComplementary competence (master’s studies in English), S23, Generic studies
Learning outcomes
The student is able to
- understand the role of heuristics and biases in everyday decision making
- explore the fields of behavioral economics and behavioral decision making
- identify and apply psychological factors in business and public policy applications
- evaluate development plans from behavioral perspective
- analyze ethical aspects of behavioral interventions and nudges
Teaching methods
The study unit is completed independently following a recommended schedule for returning assignments and completing the whole course by a given deadline. Self-direction is required. The study unit does not include meetings except an online kick-off lecture on Tuesday, May 21, 2024 at 18.00 -19:00 (EET / Finnish time) in Zoom. No other lectures will be held which enables self-paced learning. You will study in a Canvas learning environment which includes learning material and assignments/tests.
The study unit contains planning and executing a small-scale real-life intervention applying behavioral insights, and analysis of an existing development plan from a behavioral perspective. You will also engage in discussions with other students in an online forum by posting conversation starters and commenting other students’ texts about different topics you have studied about. Otherwise, the study unit does not include working in pairs or groups.
You will receive individual feedback for some of the assignments from the teacher at the end of the course. During the course the feedback is based on automated assessment, and when applicable, giving out model answers after the assignments have been returned. Peer feedback is also utilized.
As a rule, the use of AI is permitted and its utilisation must always be disclosed. Sources must always be referenced, even if the text was produced with the help of an AI. The use of AI must be clearly indicated in a text whenever it is utilised in the production or editing of any texts or images. Remember to also explain how it has been utilised, for example in reading information sources and analysing material.
You can reach the instructor at the beginning of the course before mid-June and again after the end of the course. You and reach your fellow students through the Q&A discussion board on Canvas platform and you can also use the Canvas Inbox or email messages.
Learning materials and recommended literature
Main course literature includes the following articles. Additional video materials are given on Canvas platform.
Module 1:
• Kahneman, D. 2003. A perspective on judgment and choice: mapping bounded rationality. American psychologist, 58(9), 697
• Thaler, R., Sunstein, C. & Balz, J. 2013. Choice architecture. In Shafir, E. (eds.), The behavioral foundations of public policy (pp. 428–439). Princeton University Press.
• Fehr-Duda, H. & Fehr, E. 2016. Sustainability: Game human nature. Nature News, 530(7591).
• Goldstein, D., Johnson, E., Herrmann, A., & Heitmann, M. 2008. Nudge your customers toward better choices. Harvard Business Review, 86(12), 99-105
• Dholakia, U. M. 2016. Why nudging your customers can backfire. Harvard Business Review
• Steffel, M., Williams, E. F. & Pogacar, R. 2016 How to Nudge Your Customers Without Pushing Them Away. Harvard Business Review.
Module 2:
• Dolan, P., Hallsworth, M., Halpern, D., King, D. & Vlaev, I. 2010. MINDSPACE: Influencing behaviour for public policy. Institute of Government, London, UK.
• Oeberst, A., & Imhoff, R. 2023. Toward Parsimony in Bias Research: A Proposed Common Framework of Belief-Consistent Information Processing for a Set of Biases. Perspectives on Psychological Science, 18(6), 1464-1487.
Module 3:
• Sunstein, C. R. 2015. Fifty shades of manipulation.
• Reisch, L. A. & Sunstein, C. R. 2016. Do Europeans like nudges? Judgment and Decision Making, 11(4), 310–325.
• OECD. 2017. Behavioural Insights and Public Policy: Lessons from Around the World. OECD Publishing, Paris.
• Benartzi, S., Beshears, J., Milkman, K. L., Sunstein, C. R., Thaler, R. H., Shankar, M., Tucker-Ray, W., Congdon, W. J. & Galing, S. 2017. Should governments invest more in nudging? Psychological Science, 28(8), 1041–1055.
Module 4:
• Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M.P., Cane, J. & Wood, C. E. 2013. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013 Aug;46(1):81-95.
• Carlin, D., Houshmand, K., Rodriguez, S. & Talloen, J. 2023. To create lasting change, companies can draw on behavioral insights. McKinsey & Company.
• Müller, M. M., Böhm, K. L., & Renz, E. 2023. Pay or nudge employees into change? A theoretical and experimental investigation of the effect of nudging for organizational change. Managerial & Decision Economics, 44(6), 3666–3695.
Module 5:
• Hallsworth, M. 2023. A manifesto for applying behavioural science. Nature Human Behaviour, Nature, vol. 7(3), pages 310-322, March.
Suggested background reading material:
• Johnson, E. 2021. The elements of choice: Why the way we decide matters. Riverhead Books.
• Halpern, D. 2016. Inside the nudge unit: How small changes can make a big difference. Random House.
• Thaler, R. & Sunstein, C. 2009. Nudge: Improving decisions about health, wealth, and happiness. Penguin.
Alternative completion methods of implementation
According to the degree regulations (2024), "Students are entitled to apply for recognition of prior learning regardless of where, when and how the competence has been acquired. ... At Laurea, there are two different procedures for the recognition and accreditation of prior learning: a) accreditation of prior learning (competence acquired in higher education studies at another institution) and b) demonstration of competence (competence acquired in other ways). The recognition and accreditation of prior learning is initiated by the student themselves. The student is responsible for demonstrating and verifying their competence. The student is entitled to guidance for the recognition and accreditation of their competence." Further information in the student intranet.
You may also assess work-based learning as a way to acquire the competence needed. Read more in the student intranet.
Co-operation with working life and/or RDI
The study unit includes a practical exercise where the students are encouraged to solve practical problems at their everyday life, and to further consider their developmental work.
Important dates
Based on the degree regulations (2024), the student accepted for the implementation is required to confirm his/her participation by showing activity at the start of the study in the following way: In order to demonstrate activity, the student must be present at the first contact lesson or notify the teacher in charge of his/her absence to confirm his/her participation in the study. Registration will be rejected if the student does not report his/her absence at the start of the study or the reason for the absence cannot be considered justified. Another student can be taken in his place. The first contact lesson is the recommended kick-off lecture on Tuesday, May 21, 2024 at 18.00 -19:00 (EET / Finnish time).
The study unit is divided into 5 modules. The deadline for completing the whole course is August 11th, 2024. Students are strongly recommended to follow the given schedule with suggested assignment deadlines to ensure steady progression.
Retake deadline is September 15th, 2024.
Forms of internationality
Use of international academic literature. International student group.
Students workload
Due to the special nature of grading logic with is based on the completed number of modules (see details further below), the total amount of effort per student may vary substantially. As a rule of thumb, modules 1 and 2 requires more effort than rest of the modules. Notice that for the intervention assignment in module 4 you may need to plan several days or weeks to be completed properly.
Content and scheduling
In this course you will learn the basics of behavioral economics and how behavioral insights are applied in business and public policy context. You will gain understanding on behavioral biases and heuristics that are apparent in human behavior. Nudges and choice architecture are introduced as a mean to change people's behavior.
The study unit is divided into orientation module and five learning modules:
Module 1: General overview of behavioral insights in business and public policy
Module 2: Deeper into behavioral insights
Module 3: Ethical perspectives of behavioral interventions
Module 4: Behavioral insights into action
Module 5: Applying behavioral perspective
Further information for students
The study unit corresponds to the requirements of Master's level education.
The prerequisite for participation is always that the possible competence prerequisites according to the curriculum (previous study or similar competence) are fulfilled. The student is responsible for taking into account the prerequisite conditions.
Students of the Master's programme Behavioral Insights and Choice Architecture (Päätöksenteon ilmiöt ja valintamuotoilu johtamisessa) are not eligable to apply to this study unit.
The quality of the study unit implementation has been assessed and the self-evaluation report is available for example in Canvas or Teams.
Grading scale
H-5
Evaluation methods and criteria
"Competence assessment is based on the descriptions of objectives in the curricula, and the level of competence is assessed according to the assessment criteria listed in the implementation plan for the studies" (Laurea degree regulations 2024).
The course will be evaluated on a scale of 1 to 5 / fail. Minimum requirement to pass the course is that you complete the Orientation and module 1 by August 11th, 2024. Your grade will be defined based on the number of modules that you have successfully completed. Each module will be evaluated on a Pass/Fail basis. All tasks that are mentioned in the assignment descriptions need to be completed according to the instructions to pass the modules. Assignments are evaluated on a complete / incomplete scale or in points (multiple choice tasks). To pass a multiple choice task (quiz) the student needs to score at minimum 70% of the points. The teacher will complete the grading of the assignments and tasks by Friday August 23rd, 2024. At this stage the teacher might ask you to complement assignments that have not been completed at a sufficient level. You need to complete the requested assignments successfully by September 15th, 2024.
The evaluation scheme, together with the module structure and content, complies with the general evaluation criteria of study units in Masters studies which is described here below.
To achieve grade 5 (excellent) the student must be able to:
- create a consistent framework/knowledge base making use of both national and international scientific sources in a critical analytic fashion. (Knowledge base)
- solve demanding problems in research, development and/or innovation activities where new knowledge and competence is created as well as to apply and combine information from different fields. (Problem solving)
- develop the activities of the competence area in a target-oriented and communal fashion. (Development)
- communicate convincingly both orally and in writing to audiences within and exterior to the field. (Communication)
To achieve grade 3 (good) the student must be able to:
- gather, process, produce and evaluate information critically and widely making use of both national and international scientific sources. (Knowledge base)
- use concepts of the area of expertise fairly. (Knowledge base)
- solve problems in research, development and/or innovation activities by applying and combining information from different fields. (Problem solving)
- create target-oriented, justified development plans considering the community. (Development)
- communicate in a competent, clear and consistent manner both orally and in writing. (Communication)
To achieve grade 1 (satisfactory) the student must be able to:
- gather, process, produce and evaluate information widely. (Knowledge base)
- use concepts of the area of expertise systematically. (Knowledge base)
- solve problems in research, development and/or innovation activities. (Problem solving)
- recognise and analyse focuses of development making use of the knowledge base. (Development)
- communicate clearly both orally and in writing. (Communication)
“Students who have failed to demonstrate their competence in accordance with the approved level must supplement or retake their study attainment in a manner and schedule defined by the teacher of the study unit. If the student does not pass the assessment despite the opportunity to complete their study attainment, they must complete the study unit in question in full as specified by the teacher.” (Degree regulations 2024.)
All staff and students of Laurea are expected to adhere to good scientific practices, which includes appropriate referencing. Familiarise yourself with the practices and, if needed, ask for more information. All study assignments are to be done as individual work unless otherwise instructed. If Tournitin is used when assignments are checked, the lecturer will inform the students of this.
Enrollment
03.04.2023 - 09.04.2023
Timing
22.05.2023 - 13.08.2023
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
RDI proportion
2 op
Mode of delivery
Distance learning
Unit
Korkeakouluyksikkö D /YAMK
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
20 - 50
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
Teachers
- Markus Kanerva
- Kaisa Hytönen
Teacher in charge
Markus Kanerva
Scheduling groups
- Avoin AMK 1 (Size: 5. Open UAS: 5.)
Groups
-
CYJ23KJComplementary competence (master’s studies in English), K23, Generic studies
-
TYJ23KJTäydentävä osaaminen (yamk-tutkinto), K23, yhteiset opinnot
Small groups
- 1
Learning outcomes
The student is able to
- understand the role of heuristics and biases in everyday decision making
- explore the fields of behavioral economics and behavioral decision making
- identify and apply psychological factors in business and public policy applications
- evaluate development plans from behavioral perspective
- analyze ethical aspects of behavioral interventions and nudges
Teaching methods
In this study unit you will learn the basics of behavioral economics. You will gain understanding on behavioral biases and heuristics that are apparent in human behavior. In this study unit we will also take knowledge from behavioral economics into action by considering the impact of behavioral phenomena in business and public policy applications.
The study unit is divided into orientation and 5 Modules:
Module 1: General overview of behavioral insights in business and public policy
Module 2: Deeper into behavioral insights
Module 3: Ethical perspectives of behavioral interventions
Module 4: Behavioral insights into action
Module 5: Applying behavioral perspective
The study unit is organized virtually on Canvas platform. There is one kick-off lecture on Monday, May 22 at 17:00 -18:30 (EET). No other lectures during the course.
The study unit contains planning and executing a small-scale real-life application of behavioral insights, and analysis of an existing development plan from a behavioral perspective. You will also work in smaller groups during the summer discussing by posting conversation starters and comments about different topics you have read about in an online forum, but you can decided the schedule with your group.
You can reach the instructor and your fellow students through the Q&A discussion board on Canvas platform. You can use the Canvas Inbox or email messages. The instructor gives feedback on the Canvas platform.
Learning materials and recommended literature
Hallsworth, M., & Kirkman, E. (2020). Behavioral insights. MIT Press.
Luca, M., & Bazerman, M. H. (2020). The Power of Experiments: Decision Making in a Data-Driven World. Mit Press.
Additional reading materials are given on Canvas platform. Students are also encouraged to search for (academic) literature sources.
Alternative completion methods of implementation
According to degree regulations “All students are entitled to demonstrate their competence. The recognition and accreditation of prior competence is initiated by the students themselves. The competence is recognised and accredited by the teacher responsible for the module or study unit or another person designated by the director of the UAS unit. The assessment is carried out according to the same criteria and grading scale as that adopted for the corresponding study unit.” For further information visit Student Intranet.
Co-operation with working life and/or RDI
The study unit includes a practical exercise where the students are encouraged to solve practical problems at their everyday life, and to further consider their developmental work.
Important dates
Recommended kick-off lecture on Monday, May 22th, 2023, at 17:00 -18:30 (EET).
The study unit and assignments are divided into 5 Modules. The DL for handing in assignments is August 13th, 2023.
Retake DL September 17th, 2023.
Forms of internationality
Use of international academic literature. International student group.
Students workload
Orientation 8 hours
Each module 25 hours
Content and scheduling
In this study unit behavioral insights are applied in business and public policy context. How cognitive biases and heuristics affect our decision-making is one of the main themes. Nudges and choice architecture are introduced as a mean to change people's behavior
Further information for students
The study unit corresponds to the requirements of Master's level education.
According to the degree regulations (section 18) “students must be present in the first contact session or notify their teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrolment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.” (Laurea degree regulations) “In the case of online studies the lecturer can also specify some other way than participation on an online meeting what is required from the student so that he/she verifies his/her attendance on the study unit” (Decision by the vice president, education 7/2019).
There are 5 places available in open UAS and 10 places on CampusOnline.
Students of the Master's programmes in Behavioral Insights in Business Applications (Päätöksenteon ilmiöt johtamisessa, kehittämisessä ja asiakastyössä) or Behavioral Insights and Choice Architecture (Päätöksenteon ilmiöt ja valintamuotoilu) are not eligable to apply to this study unit.
The quality of the study unit implementation has been assessed and the self-evaluation report is available in Canvas.
Grading scale
H-5
Evaluation methods and criteria
“The evaluation of competence is based on the descriptions of objectives in the curricula and the evaluation criteria provided in the study unit’s implementation plan” (Laurea degree regulations).
The study unit will be evaluated on a scale of 1 to 5 / fail. To pass the study unit you need to complete the Orientation assignment by Sunday, June 4th, and to pass at least Module 1 by August 14th. Your grade will be defined based on the Modules you have successfully completed. Individual assignments are evaluated on a complete / incomplete scale or in points (multiple choice tasks). To pass a multiple choice task the student needs to score at minimum 70% of the points.
The evaluation scheme, together with the Module structure and content, complies with the general evaluation criteria of study units in Masters studies which is described here below.
To achieve grade 5 (excellent) the student must be able to:
- create a consistent framework/knowledge base making use of both national and international scientific sources in a critical analytic fashion. (Knowledge base)
- solve demanding problems in research, development and/or innovation activities where new knowledge and competence is created as well as to apply and combine information from different fields. (Problem solving)
- develop the activities of the competence area in a target-oriented and communal fashion. (Development)
- communicate convincingly both orally and in writing to audiences within and exterior to the field. (Communication)
To achieve grade 3 (good) the student must be able to:
- gather, process, produce and evaluate information critically and widely making use of both national and international scientific sources. (Knowledge base)
- use concepts of the area of expertise fairly. (Knowledge base)
- solve problems in research, development and/or innovation activities by applying and combining information from different fields. (Problem solving)
- create target-oriented, justified development plans considering the community. (Development)
- communicate in a competent, clear and consistent manner both orally and in writing. (Communication)
To achieve grade 1 (satisfactory) the student must be able to:
- gather, process, produce and evaluate information widely. (Knowledge base)
- use concepts of the area of expertise systematically. (Knowledge base)
- solve problems in research, development and/or innovation activities. (Problem solving)
- recognise and analyse focuses of development making use of the knowledge base. (Development)
- communicate clearly both orally and in writing. (Communication)
“Students who have failed assignments or examinations required for passing a study unit must supplement or retake their study attainment in a manner and schedule defined by the teacher of the study unit.” (Laurea degree regulations.)
All staff and students of Laurea are expected to adhere to good scientific practices, which includes appropriate referencing. Familiarise yourself with the practices and, if needed, ask for more information. All study assignments are to be done as individual work unless otherwise instructed. If Urkund is used when assignments are checked, the lecturer will inform the students of this.
Enrollment
04.04.2022 - 10.04.2022
Timing
23.05.2022 - 14.08.2022
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
RDI proportion
2 op
Mode of delivery
Distance learning
Unit
Korkeakouluyksikkö D, Tikkurila, liko
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
Teachers
- Markus Kanerva
Scheduling groups
- Pienryhmä 1 (Size: 5. Open UAS: 5.)
Groups
-
CYJ22KJComplementary competence (master’s studies in English), K22, Generic studies
-
TYJ22KJTäydentävä osaaminen (yamk-tutkinto), K22, yhteiset opinnot
Small groups
- Pienryhmä 1
Learning outcomes
The student is able to
- understand the role of heuristics and biases in everyday decision making
- explore the fields of behavioral economics and behavioral decision making
- identify and apply psychological factors in business and public policy applications
- evaluate development plans from behavioral perspective
- analyze ethical aspects of behavioral interventions and nudges
Teaching methods
In this study unit you will learn the basics of behavioral economics. You will gain understanding on behavioral biases and heuristics that are apparent in human behavior. In this study unit we will also take knowledge from behavioral economics into action by considering the impact of behavioral phenomena in business and public policy applications.
The study unit is divided into orientation and 5 Modules:
Module 1: General overview of behavioral insights in business and public policy
Module 2: Deeper into behavioral insights
Module 3: Ethical perspectives of behavioral interventions
Module 4: Behavioral insights into action
Module 5: Applying behavioral perspective
The study unit is organized virtually on Canvas platform. There is one kick-off lecture on May 23 at 17:00 -18:30 (EET).
The study unit contains planning and executing a small-scale real-life application of behavioral insights, and analysis of an existing development plan from a behavioral perspective.
You can reach the instructor and your fellow students through the Q&A discussion board on Canvas platform. You can use the Canvas Inbox or email messages. The instructor gives feedback on the Canvas platform.
Learning materials and recommended literature
Hallsworth, M., & Kirkman, E. (2020). Behavioral insights. MIT Press.
Luca, M., & Bazerman, M. H. (2020). The Power of Experiments: Decision Making in a Data-Driven World. Mit Press.
Additional reading materials are given on Canvas platform. Students are also encouraged to search for (academic) literature sources.
Alternative completion methods of implementation
According to degree regulations “All students are entitled to demonstrate their competence. The recognition and accreditation of prior competence is initiated by the students themselves. The competence is recognised and accredited by the teacher responsible for the module or study unit or another person designated by the director of the UAS unit. The assessment is carried out according to the same criteria and grading scale as that adopted for the corresponding study unit.” For further information visit Student Intranet.
Co-operation with working life and/or RDI
The study unit includes a practical exercise where the students are encouraged to solve practical problems at their everyday life, and to further consider their developmental work.
Important dates
Recommended kick-off lecture on May 23rd at 17:00 -18:30
The study unit and assignments are divided into 5 Modules. The DL for handing in assignments is August 14th, 2022.
Retake DL September 19th (23:59)
Forms of internationality
Use of international academic literature. International student group.
Students workload
Orientation 8 hours
Each module 25 hours
Content and scheduling
In this study unit behavioral insights are applied in business and public policy context. How cognitive biases and heuristics affect our decision-making is one of the main themes. Nudges and choice architecture are introduced as a mean to change people's behavior
Further information for students
The study unit corresponds to the requirements of Master's level education.
According to the degree regulations (section 18) “students must be present in the first contact session or notify their teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrolment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.” (Laurea degree regulations) “In the case of online studies the lecturer can also specify some other way than participation on an online meeting what is required from the student so that he/she verifies his/her attendance on the study unit” (Decision by the vice president, education 7/2019).
There are 5 places available in open UAS and 10 places on CampusOnline.
Students of the Master's programme Behavioral Insights in Business Applications (Päätöksenteon ilmiöt johtamisessa, kehittämisessä ja asiakastyössä) are not eligable to apply to this study unit.
The quality of the study unit implementation has been assessed and the self-evaluation report is available in Canvas.
Grading scale
Approved/Failed
Evaluation criteria, approved/failed
“The evaluation of competence is based on the descriptions of objectives in the curricula and the evaluation criteria provided in the study unit’s implementation plan” (Laurea degree regulations).
The study unit will be evaluated on a scale of 1 to 5 / fail. To pass the study unit you need to complete the Orientation assignment by Sunday, June 5th, and to pass at least Module 1 by August 14th. Your grade will be defined based on the Modules you have successfully completed. Individual assignments are evaluated on a complete / incomplete scale or in points (multiple choice tasks). To pass a multiple choice task the student needs to score at minimum 70% of the points.
The evaluation scheme, together with the Module structure and content, complies with the general evaluation criteria of study units in Masters studies which is described here below.
To achieve grade 5 (excellent) the student must be able to:
- create a consistent framework/knowledge base making use of both national and international scientific sources in a critical analytic fashion. (Knowledge base)
- solve demanding problems in research, development and/or innovation activities where new knowledge and competence is created as well as to apply and combine information from different fields. (Problem solving)
- develop the activities of the competence area in a target-oriented and communal fashion. (Development)
- communicate convincingly both orally and in writing to audiences within and exterior to the field. (Communication)
To achieve grade 3 (good) the student must be able to:
- gather, process, produce and evaluate information critically and widely making use of both national and international scientific sources. (Knowledge base)
- use concepts of the area of expertise fairly. (Knowledge base)
- solve problems in research, development and/or innovation activities by applying and combining information from different fields. (Problem solving)
- create target-oriented, justified development plans considering the community. (Development)
- communicate in a competent, clear and consistent manner both orally and in writing. (Communication)
To achieve grade 1 (satisfactory) the student must be able to:
- gather, process, produce and evaluate information widely. (Knowledge base)
- use concepts of the area of expertise systematically. (Knowledge base)
- solve problems in research, development and/or innovation activities. (Problem solving)
- recognise and analyse focuses of development making use of the knowledge base. (Development)
- communicate clearly both orally and in writing. (Communication)
“Students who have failed assignments or examinations required for passing a study unit must supplement or retake their study attainment in a manner and schedule defined by the teacher of the study unit.” (Laurea degree regulations.)
All staff and students of Laurea are expected to adhere to good scientific practices, which includes appropriate referencing. Familiarise yourself with the practices and, if needed, ask for more information. All study assignments are to be done as individual work unless otherwise instructed. If Urkund is used when assignments are checked, the lecturer will inform the students of this.