您好，昆明理工大学研究生毕业条件要求包括：1、完成学校规定的研究生课程学习；2、获得学校规定的研究生学位论文答辩；3、获得学校规定的研究生学位证书；4、完成学校规定的研究生学习期限；5、获得学校规定的研究生学习成绩。此外，昆明理工大学还要求研究生必须遵守学校的各项规章制度，并严格按照学校的规定完成学习任务。
这个你们所属学院的教学秘书会统一下发，而且你们学校的官方网站上也有啊！你百度一下“昆明理工大学研究生学院”进入网站后，里面有个下载中心，里面有个文件叫硕士研究生培养计划，这个里面有，下载下来里面有格式。顺便给你个查重的网站，papertime，百度进入官网就行，这个有个兑换码，很好用（463092），可以写完论文的时候，查重用！
3月份到4月份进行，需要2到4个周。硕士学位论文的基本要求：查阅资料广泛，综合分析透彻，接触学科前沿，了解本领域国内外学术动态；论文的选题应在学术上或对社会发展具有一定的理论意义或实践价值；论文研究成果有所发现、有所创新。
建议去昆明理工大学官网上进行查看，硕士毕业论文正文格式官网都会进行通知的。
硕士论文是硕士研究生所撰写的学术论文，具有一定的理论深度和更高的学术水平，更加强调作者思想观点的独创性，以及研究成果应具备更强的实用价值和更高的科学价值。共分为12大类。
硕士是一个介于学士及博士之间的研究生学位，拥有硕士学位者通常象征具有基础的独立的研究能力。
硕士研究生教育承担着既为博士生教育输送合格生源，又为经济建设与社会发展培养各类高层次专门人才的任务。硕士生的培养应强调专业基础理论和专业知识的学习，重视综合素质提高和创新、创业精神的培养，提高分析与解决问题的能力，根据实际需要和不同面向确定培养目标、培养类型和培养模式。
从国家管理部门来看，2009年3月的教育部《全国专业学位教育指导委员会联席会年度工作会议》也提出：拓展研究生主要培养学术型人才和应用型专门人才，并提出应用型专门人才是相对于学术性学位而言的学位类型，培养适应特定职业或岗位实际工作需要的应用型“高层次”专门人才。
研究生又分为三个层次：硕士研究生、博士研究生和博士后（博士后不属于学位范畴）。由于博士后往往是带着专门课题的研究人员，已经基本不属于“学生”这个范畴，因此我们常说的“研究生”就是指硕士研究生和博士研究生。对于本科同学而言，提到“研究生”，通常指硕士研究生。
学位论文答辩的一般流程如下：
硕士研究生在规定期限内完成培养计划、发表学术论文符合要求；论文通过检测，导师同意答辩。硕士研究生在答辩前三个月写出学位论文。指导教师对学位论文的学术性、真实性和撰写的规范性进行审查评阅，给出学术评语。
硕士研究生在每年4月、10月到所在学院研究生教育办公室提出答辩申请（具体时间根据该学院当年的规定）。办理答辩申请时，提交相关学位材料。学院研究生教育办公室根据《昆明理工大学学位授予工作细则》有关毕业和答辩的规定进行审查，汇总受理申请的学生名单。
学院分委员会应聘请2名专家评阅论文并抽取20%的学位论文开展匿名评审（对于匿名评审抽取的比例，学院抽取的比例可以高于学校的要求）。
论文答辩：
毕业论文答辩是一种有组织、有准备、有计划、有鉴定的比较正规的审查论文的重要形式。为了搞好毕业论文答辩，在举行答辩会前，校方、答辩委员会、答辩者（撰写毕业论文的作者）三方都要作好充分的准备。
答辩前的准备，对于校方来说，主要是做好答辩前的组织工作。这些组织工作主要有：审定学员参加毕业论文答辩的资格，组织答辩委员会，拟订毕业论文成绩标准，布置答辩会场等。
The simulation data with complete information under constraint conditions, price compared with relatively close, also proved A method for the ancient a Nash equilibrium expectation is desirable. The given table per plant has two sets of four cases, a Nash equilibrium of the ancient. by The simulation results of table can be seen:(1)under the complete information and minimum and maximum output by units under the condition of constraints, the total of all plant Force than constrained circumstances, but lower price. The complete information .(2) under the minimum and maximum output unit under constraint, some units, this is by quotation In the constraint by the maximum output, which offer, reduce output, forcing a output in Kuhn k-t (tower), Point. With complete information without constraint condition, the total output of all power, but the price has dropped Rising. (3) the complete information on the simulation data with complete information under constraint conditions are compared, ancient one Nash Heng solution approaches, this method proves the expectations for a Nash equilibrium ancient is desirable, can use To direct university of science and technology of master degree theses However, compared with table, under various conditions were obviously improved, and price are higher,but total power output That dropped in the power plant, the less competitive and the higher price . This chapter summary :Power units bidding online game behavior is an obvious, but in any game, both the Nash equilibrium For optimum reaction between participants a junction. On the demand side elastic of power market, the ZhangJianLi Incomplete information under the constraint condition of ancient model is given, and the calculation method of solving the model, The power output of a Nash equilibrium ancient expectations, and by using the formula of the solution into units will offer curve. Game is important information about each opponent strategies and benefit gambling sides of information. Profit is the game After the implementation of the strategy of the party. But in most cases, the game's income and cannot be accurately identified. Therefore, in the complete information on other units, the accuracy of the estimation operation cost coefficient is very important. This chapter is a certain error range in the estimated cost coefficient of circumstances, through example analysis shows that, The results of complete information and very close to that of the proposed method can be used as the completely Information online bidding power unit offer the curve.
Simulation data with incomplete information under constraints as compared to price is closer to, but also show that the side Method to derive the expectations of the Cournot-Nash equilibrium solution is desirable. Table gives the power plant have two units each, the four cases of Cournot-Nash equilibrium. By Table shows the simulation results: ① under incomplete information and are not bound to contribute the smallest unit of the largest cases, the total of all power plant Power than the circumstances to be bound, but lower prices. ② under incomplete information in the unit by the max-min bound to contribute, some units offer enhanced by To be bound by the greatest efforts to improve pricing and reduce efforts to force the output in the Kuhn-Tucker (KT) Point. With incomplete information under non-binding compared to the total output of all power plants has declined, but the price has 上升. ③ under incomplete information in a non-simulation data with incomplete information under constraints as compared to both the Cournot-Nash Solution value is closer to that obtained by the method of expectations Cournot-Nash equilibrium solution is desirable, can be used To guide production. Kunming University of Science and Technology Master's thesis However, Table and Table as compared to price a variety of situations are significantly increased, while the total power output is Dropped, indicating the power to participate in the less competition, higher electricity prices. Summary of this chapter Power plant unit bidding behavior is obviously a game, and in any game, the Nash equilibrium both Between participants in the optimal response for a point of intersection. On the demand side of the electricity market flexibility, this chapter established Non-binding under complete information Cournot model conditions and at the same time given to solve the calculation of the model may A power output expectations Cournot-Nash equilibrium solution, and using the formula of the solution into a curve of unit pricing. Game of the most important information is on the opponent and game strategy to benefit from the information. Benefit is the game Side after the implementation of the outcome of the strategy. However, in most cases, the game's income and can not be determined accurately. Therefore, under incomplete information on the operation of other units of the accuracy of the estimated cost of a very important factor. This chapter gives a certain margin of error in the estimated cost factor, the analysis through an example, the Results with the results of incomplete information is very close to that of the proposed method can be identified as non-fully Information under the power plant unit bidding tool bidding curves.
3月份到4月份进行，需要2到4个周。硕士学位论文的基本要求：查阅资料广泛，综合分析透彻，接触学科前沿，了解本领域国内外学术动态；论文的选题应在学术上或对社会发展具有一定的理论意义或实践价值；论文研究成果有所发现、有所创新。
The simulation data with complete information under constraint conditions, price compared with relatively close, also proved A method for the ancient a Nash equilibrium expectation is desirable. The given table per plant has two sets of four cases, a Nash equilibrium of the ancient. by The simulation results of table can be seen:(1)under the complete information and minimum and maximum output by units under the condition of constraints, the total of all plant Force than constrained circumstances, but lower price. The complete information .(2) under the minimum and maximum output unit under constraint, some units, this is by quotation In the constraint by the maximum output, which offer, reduce output, forcing a output in Kuhn k-t (tower), Point. With complete information without constraint condition, the total output of all power, but the price has dropped Rising. (3) the complete information on the simulation data with complete information under constraint conditions are compared, ancient one Nash Heng solution approaches, this method proves the expectations for a Nash equilibrium ancient is desirable, can use To direct university of science and technology of master degree theses However, compared with table, under various conditions were obviously improved, and price are higher,but total power output That dropped in the power plant, the less competitive and the higher price . This chapter summary :Power units bidding online game behavior is an obvious, but in any game, both the Nash equilibrium For optimum reaction between participants a junction. On the demand side elastic of power market, the ZhangJianLi Incomplete information under the constraint condition of ancient model is given, and the calculation method of solving the model, The power output of a Nash equilibrium ancient expectations, and by using the formula of the solution into units will offer curve. Game is important information about each opponent strategies and benefit gambling sides of information. Profit is the game After the implementation of the strategy of the party. But in most cases, the game's income and cannot be accurately identified. Therefore, in the complete information on other units, the accuracy of the estimation operation cost coefficient is very important. This chapter is a certain error range in the estimated cost coefficient of circumstances, through example analysis shows that, The results of complete information and very close to that of the proposed method can be used as the completely Information online bidding power unit offer the curve.
Simulation data with incomplete information under constraints as compared to price is closer to, but also show that the side Method to derive the expectations of the Cournot-Nash equilibrium solution is desirable. Table gives the power plant have two units each, the four cases of Cournot-Nash equilibrium. By Table shows the simulation results: ① under incomplete information and are not bound to contribute the smallest unit of the largest cases, the total of all power plant Power than the circumstances to be bound, but lower prices. ② under incomplete information in the unit by the max-min bound to contribute, some units offer enhanced by To be bound by the greatest efforts to improve pricing and reduce efforts to force the output in the Kuhn-Tucker (KT) Point. With incomplete information under non-binding compared to the total output of all power plants has declined, but the price has 上升. ③ under incomplete information in a non-simulation data with incomplete information under constraints as compared to both the Cournot-Nash Solution value is closer to that obtained by the method of expectations Cournot-Nash equilibrium solution is desirable, can be used To guide production. Kunming University of Science and Technology Master's thesis However, Table and Table as compared to price a variety of situations are significantly increased, while the total power output is Dropped, indicating the power to participate in the less competition, higher electricity prices. Summary of this chapter Power plant unit bidding behavior is obviously a game, and in any game, the Nash equilibrium both Between participants in the optimal response for a point of intersection. On the demand side of the electricity market flexibility, this chapter established Non-binding under complete information Cournot model conditions and at the same time given to solve the calculation of the model may A power output expectations Cournot-Nash equilibrium solution, and using the formula of the solution into a curve of unit pricing. Game of the most important information is on the opponent and game strategy to benefit from the information. Benefit is the game Side after the implementation of the outcome of the strategy. However, in most cases, the game's income and can not be determined accurately. Therefore, under incomplete information on the operation of other units of the accuracy of the estimated cost of a very important factor. This chapter gives a certain margin of error in the estimated cost factor, the analysis through an example, the Results with the results of incomplete information is very close to that of the proposed method can be identified as non-fully Information under the power plant unit bidding tool bidding curves.
1、首先本人申请填写学位证申请《学位证明书审批表》。2、其次档案管办理手续需携带个人申请、审批表及登报挂失发票和报纸依次到毕业系、档案馆（复印：学籍成绩总表、学位评定委员会公报、学位申请书）办理相关手续。3、然后申请人到学院教务办公室领取《学位证明书申请表》，填写好表格中的相关内容并按要求准备材料。4、最后校学位办公室经学位办公室，签署意见及加盖公章后，由学位办公室办理证明书。
2022年3月20日之前。2022年上半年自学考试学分互认考试的本科毕业论文答辩申请时间为2022年3月20日前，毕业论文答辩时间安排截止时间为2022年3月20日。论文，一般指反映学术研究和科学探索成果的文章，它是围绕一个具体问题，把研究和探索的成果以自圆其说的方式论述出来，即提出观点，摆出材料，逻辑论证，得出结论。
云南理工类大学排名如下：
1、昆明理工大学
2、昆明理工大学津桥学院
3、昆明冶金高等专科学校
4、云南交通职业技术学院
5、云南国土资源职业学院
6、昆明铁道职业技术学院
7、云南现代职业技术学院
8、云南水利水电职业学院
9、云南能源职业技术学院
10、云南机电职业技术学院
11、昆明工业职业技术学院
12、云南交通运输职业学院
13、云南工贸职业技术学院
14、云南轻纺职业学院
15、云南三鑫职业技术学院
16、云南工程职业学院
17、云南科技信息职业学院
18、云南城市建设职业学院
19、云南理工职业学院
部分学校介绍
1、昆明理工大学
昆明理工大学创建于1954年，时名为昆明工学院，1995年更名为昆明理工大学，1999年原昆明理工大学与原云南工业大学合并组建新的昆明理工大学。
经过60多年的发展，现已发展成为一所以工为主，理工结合，行业特色、区域特色鲜明，经济、管理、哲学、法学、文学、艺术、医学、农学、教育等多学科协调发展的综合性大学，是云南省规模最大、办学层次和类别齐全的重点大学。
2、昆明理工大学津桥学院
昆明理工大学津桥学院成立于2001年，是由昆明理工大学申办、云南省国有大型企业云南省城市建设投资集团有限公司投资，经云南省教育厅审核、国家教育部批准的全日制本科独立学院。
学校是一所以工为主的独立学院，下设6个二级学院、2个教学部，39个本科专业，现有高新、空港2个校区，校区占地总面积1200余亩，在校学生11000余名，教职工700余人。
3、昆明冶金高等专科学校
昆明冶金高等专科学校是一所历史悠久、特色鲜明，以工为主，工、管、文、商、艺并举的全日制公办普通高校，是国家示范性高等职业院校、全国优质专科高等职业院校、云南省高水平高职院校建设项目院校、云南省优质高职院校建设单位。
学校始建于1952年，长期积淀形成优良的工科办学传统和浓郁的工程文化氛围，工程应用特色鲜明，形成了丰富的优质工科办学资源。
以上内容参考：百度百科-全国高等学校名单
昆明理工大学排名：104名。
昆明理工大学（Kunming University of Science and Technology），位于云南省昆明市，是国家国防科技工业局与云南省共建高校。
入选国家“111计划”、教育部“卓越工程师教育培养计划”、“中西部高校基础能力建设工程”、国家"特色重点学科项目"建设高校、国家级新工科研究与实践项目、国家建设高水平大学公派研究生项目。
中国政府奖学金来华留学生接收院校、深化创新创业教育改革示范高校、国家级创新创业教育实践基地、高等学校科技成果转化和技术转移基地、数据中国“百校工程”，国家创新人才培养示范基地、CDIO工程教育联盟成员单位，是云南省综合性重点大学。
校徽：
昆明理工大学的校徽为内外两个同心圆构成的圆环面。外圆环内为中文校名（繁体），英文校名（KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY）；内圆中间图案是6个立方体方块，其下方是数字1954，背景颜色为红褐色。
内圆中间6个立方体方块组合图形为学校标志性建筑图书馆的抽象图，象征昆工；而立方体方块形似晶体的晶胞结构，体现了学校理工科办学特色；“1954”代表学校建校时间。
背景颜色为红褐色由深到浅过渡，层次分明，与学校建筑风格相匹配（昆工红），还代表学校地处红土高原，寓意学校根植红土，情系有色，坚韧不拔，赤诚报国的精神和艰苦奋斗，求真务实的传统。
云南理工大学（昆明理工大学）排名129位。
昆明理工大学（Kunming University of Science and Technology），位于云南省昆明市，是云南省综合性重点大学，由国防科技工业局与云南省人民政府共建高校，入选“中西部高校基础能力建设工程”、国家建设高水平大学公派研究生项目、教育部“卓越工程师教育培养计划”。
中国政府奖学金来华留学生接收院校、全国首批深化创新创业教育改革示范高校、高等学校科技成果转化和技术转移基地、数据中国“百校工程”、“高等学校学科创新引智计划”，是国家创新人才培养示范基地，建立国家国际技术转移中心的高校，CDIO工程教育联盟成员单位。
昆明理工大学师资力量：
根据2021年7月学校官网显示，学校有教职工3834人，其中，专任教师2467人，教授、副教授职称人员1360人。学校现有院士9人，其中，全职两院院士3人，外籍院士6人；全国“创新争先奖”获得者1人，国家杰出青年科学基金获得者1人，全国杰出专业技术人才1人，国家级教学名师1人。
国家级高层次人才特殊支持计划教学名师1人，“何梁何利奖”获得者4人，国家优秀青年科学基金获得者3人，国家有突出贡献的中青年科学技术管理专家8人，享受国务院政府特殊津贴22人，霍英东教育基金会高校青年教师基金及教师奖获得者6人。
教育部“高校青年教师奖”1人，教育部“新世纪优秀人才培养计划”入选者8人，云南省高层次人才14人，云南省“兴滇人才奖”2人，云南省高端科技人才8人，云南省有突出贡献优秀专业技术人才16人，享受云南省政府特殊津贴人员15人。
南省中青年学术和技术带头人98人、后备人才50人，云南省技术创新人才13人，云南省高层次人才特殊支持计划高等学校教学名师9人，云南省教学名师18人，省科学家工作室1个，云南省高等学校名师工作室17个。
以上内容参考：百度百科-昆明理工大学