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Human Resources Management and Protection of Personal Data
Study Course Description
Course Description Statuss:Approved
Course Description Version:10.00
Study Course Accepted:29.05.2024 08:41:49
| Study Course Information | |||||||||
| Course Code: | JF_416 | LQF level: | Level 7 | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Law | Target Audience: | Juridical Science; Civil and Military Defense | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Agnese Reine | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Faculty of Social Sciences | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | Dzirciema street 16, Rīga, szf rsu[pnkts]lv | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 8 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 16 | ||||
| Classes (count) | 4 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 8 | ||||
| Total Contact Hours | 24 | ||||||||
| Part-Time - Semester No.1 | |||||||||
| Lectures (count) | 3 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 6 | ||||
| Classes (count) | 2 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 4 | ||||
| Total Contact Hours | 10 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Previously mastered study course “Protection of Personal Data”. | ||||||||
| Objective: | To find an opportunity for mastering of in-depth knowledge in processing of personal data at workplaces to be able to ensure legitimate and effective management of personnel, paying special attention from the point of view of the rights of persons involved in data processing (controller, officer, processor). Also, the purpose of the study course includes in-depth learning of human resources management issues in the organization, introducing students to the theoretical aspects of the personnel management process and work analysis, developing of practical skills in working with personnel, as well as deepening knowledge about the structure of the labor market and its characteristics. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | 1) Division, concept, types of personal data/classification in professional activity. Interaction of regulatory requirements of labour law and regulatory requirements of data protection. 2) Main concepts and elements of the labor market.Labor force, labor demand and supply concepts in the context of sustainable and smart development. Economic activity of the population, employment and unemployment. Types of economic activity, industries and professions. | Lectures | 2.00 | auditorium | |||||
| 2 | 1) Basic rules and principles of internal regulations of an institution in area of data protection. 2) Human resources and personnel management: the common and the different. Basic principles of personnel policy making in the context of smart development strategy. | Lectures | 2.00 | auditorium | |||||
| 3 | 1) Evaluation of practical legal situations and description of analysis cases in area of data protection. 2) Formation of labor relations in the private and public sector. Labor mobility and the international labor market. Development trends of Latvian regions in terms of employment. | Classes | 2.00 | auditorium | |||||
| 4 | 1) Specifics of law enforcement institutions in work organisation and processing of personal data when performing direct duties. Mutual cooperation between EU countries and outside them in the field of transfer and processing of personal data. 2) Job search strategies. Common and different features of the positions of employer and employee. | Lectures | 2.00 | auditorium | |||||
| 5 | 1) Data transfer case analysis and legal evaluation when getting involved in the analysis of cases existing in practice. 2) The latest methods of personnel planning. Criteria for evaluating the performance of human resources (personnel) management structural units. | Classes | 2.00 | auditorium | |||||
| 6 | 1) Definition of legal foundations for the processing of personal data. Situation modelling during an emergency when processing personal data. A document/-s for processing of internal personal data of an institution has been developed 2) Job analysis (nature of job analysis, job classification and evaluation methods, concept of job description, components, requirements profile). | Lectures | 2.00 | auditorium | |||||
| Topic Layout (Part-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | 1) Division, concept, types of personal data/classification in professional activity. Interaction of regulatory requirements of labour law and regulatory requirements of data protection. 2) Main concepts and elements of the labor market.Labor force, labor demand and supply concepts in the context of sustainable and smart development. Economic activity of the population, employment and unemployment. Types of economic activity, industries and professions. | Lectures | 0.50 | auditorium | |||||
| 2 | 1) Basic rules and principles of internal regulations of an institution in area of data protection. 2) Human resources and personnel management: the common and the different. Basic principles of personnel policy making in the context of smart development strategy. | Lectures | 0.50 | auditorium | |||||
| 3 | 1) Evaluation of practical legal situations and description of analysis cases in area of data protection. 2) Formation of labor relations in the private and public sector. Labor mobility and the international labor market. Development trends of Latvian regions in terms of employment. | Classes | 1.00 | auditorium | |||||
| 4 | 1) Specifics of law enforcement institutions in work organisation and processing of personal data when performing direct duties. Mutual cooperation between EU countries and outside them in the field of transfer and processing of personal data. 2) Job search strategies. Common and different features of the positions of employer and employee. | Lectures | 1.00 | auditorium | |||||
| 5 | 1) Data transfer case analysis and legal evaluation when getting involved in the analysis of cases existing in practice. 2) The latest methods of personnel planning. Criteria for evaluating the performance of human resources (personnel) management structural units. | Classes | 1.00 | auditorium | |||||
| 6 | 1) Definition of legal foundations for the processing of personal data. Situation modelling during an emergency when processing personal data. A document/-s for processing of internal personal data of an institution has been developed 2) Job analysis (nature of job analysis, job classification and evaluation methods, concept of job description, components, requirements profile). | Lectures | 1.00 | auditorium | |||||
| Assessment | |||||||||
| Unaided Work: | Performance of seminar works based on prepared cases. In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal. | ||||||||
| Assessment Criteria: | Independent work during classes – 70% (performance of all seminar works is mandatory). Examination (classical multiple choice tests) – 30%. | ||||||||
| Final Examination (Full-Time): | Exam (Written) | ||||||||
| Final Examination (Part-Time): | Exam (Written) | ||||||||
| Learning Outcomes | |||||||||
| Knowledge: | Knows basic principles of processing of personal data and requirements for legitimate processing of personal data, when performing direct job duties within the scope of own authorisations. Finds one’s way in human resources management theories. | ||||||||
| Skills: | Able to propose solutions in different practical cases related to the specifics of processing of personal data. Able to create a human resources policy observing the requirements for the processing of personal data. | ||||||||
| Competencies: | Analyses and practically uses the knowledge obtained in the field of management of personal data and human resources in professional activity. Analyses and presents justified solutions. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Svika N. Cilvēcīga vadība... jo darbinieki ir cilvēki, nevis resursi. R.: Zvaigzne ABC, 2023. | ||||||||
| 2 | Adizess K. I. Prasmīga pārmaiņu vadība. Ievads organizāciju terapijā. R.: Zvaigzne ABC, Rīga, 2018. | ||||||||
| 3 | Personāla atlases vadlīnijas 2020. R.: Valsts kanceleja, 2020. | ||||||||
| 4 | Red. Dr. habil. oec. B. Rivža. Zināšanu ekonomika Latvijas lauku un reģionu dzīvotspējai. Jelgava, 2018. | ||||||||
| 5 | Datu valsts inspekcijas lēmums par korektīvā līdzekļa piemērošanu (Darbinieku datu apstrāde)/2023 | ||||||||
| 6 | Guidelines 05/2020 on consent under Regulation 2016/679 | ||||||||
| 7 | A. Reine. Ensuring Protection of Personal Data in Time of Remote Work during the Covid-19 Pandemic. 2020. | ||||||||
| 8 | MacRae, Ian. High potential: how to spot, manage and develop talented people at work. 2nd edition. London: Bloomsbury Publishing Plc, 2018. | ||||||||
| 9 | Employment in the Age Group 50+ in the Baltic States and its Changes in Response to Covid-19. 2021. Olga Rajevska Dr. sc. admin.; Agnese Reine Mag.iur. and Diana Baltmane B.A. | ||||||||
| 10 | Ārvalstu studentiem/For international students | ||||||||
| 11 | Guidelines 05/2020 on consent under Regulation 2016/679 | ||||||||
| 12 | A. Reine. Ensuring Protection of Personal Data in Time of Remote Work during the Covid-19 Pandemic. 2020. | ||||||||
| 13 | MacRae, Ian. High potential: how to spot, manage and develop talented people at work. 2nd edition. London: Bloomsbury Publishing Plc, 2018. | ||||||||
| 14 | Employment in the Age Group 50+ in the Baltic States and its Changes in Response to Covid-19. 2021. Olga Rajevska Dr. sc. admin.; Agnese Reine Mag.iur. and Diana Baltmane B.A. | ||||||||
| Additional Reading | |||||||||
| 1 | Valsts un pašvaldību institūciju amatpersonu un darbinieku atlīdzības likums | ||||||||
| 2 | Valsts civildienesta ierēdņu disciplināratbildības likums | ||||||||
| 3 | Eiropas Parlamenta un Padomes 2016. gada 27. aprīļa Regulas (ES) 2016/679 par fizisku personu aizsardzību attiecībā uz personas datu apstrādi un šādu datu brīvu apriti un ar ko atceļ Direktīvu 95/46/EK. | ||||||||
| 4 | Valsts civildienesta ierēdņu disciplināratbildības likums | ||||||||
| 5 | Darba likums | ||||||||
| 6 | Fizisko personu datu apstrādes likums | ||||||||
| 7 | Likums “Par fizisko personas datu apstrādi kriminālprocesā un administratīvā pārkāpuma procesā” | ||||||||
| 8 | Ministru kabineta 2020.gada 6.oktobra noteikumi Nr.620 “Datu aizsadzības speciālista kvalifikācijas noteikumi” | ||||||||
| 9 | Ārvalstu studentiem/For international students | ||||||||
| 10 | The Law on the Processing of Personal Data | ||||||||
| 11 | Law On Disciplinary Liability of State Civil Servants | ||||||||
| 12 | Labour Law | ||||||||
| 13 | Personal Data Processing Law | ||||||||
| 14 | Law on Remuneration of Officials and Employees of State and Local Government Authorities | ||||||||
| 15 | On Processing of Personal Data in the Criminal Proceedings and Administrative Offence Proceedings | ||||||||
| Other Information Sources | |||||||||
| 1 | Tiek iekļauti uzsākot studiju kursu īstenošanu par aktuālajiem tiesu spriedumiem un skaidrojumi. | ||||||||
| 2 | Latvijas darba tirgus prognozes līdz 2040. gadam | ||||||||
